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ORCIDIJCNN 2005: Montreal, QC, Canada
- IEEE International Joint Conference on Neural Networks, IJCNN 2005, Montreal, QC, Canada, July 31 - August 4, 2005. IEEE 2005, ISBN 0-7803-9048-2
- Donald C. Wunsch:
The INNS President's Welcome. - Pierre Baldi:
Exploring chemical space with computers: challenges and opportunities. 83 - David P. Casasent, Yu-Chiang Wang:
Automatic target recognition using new support vector machine. 84-89 - John A. Drakopoulos, Ahmad Abdulkader:
Training with heterogeneous data. 90-95 - Takahiro Emoto, Masatake Akutagawa, Udantha R. Abeyratne, Hirofumi Nagashino, Yohsuke Kinouchi:
Tracking the states of a nonlinear system in the weight-space of a feed-forward neural network. 96-101 - Jingdong Wang, James T. Kwok, Helen C. Shen, Long Quan:
Data-dependent kernels for high-dimensional data classification. 102-107 - Hui Kong, Xuchun Li, Lei Wang, Earn Khwang Teoh, Jian-Gang Wang, Ronda Venkateswarlu:
Generalized 2D principal component analysis. 108-113 - Sepp Hochreiter, Klaus Obermayer:
Optimal gradient-based learning using importance weights. 114-119 - Walter J. Freeman:
Cinematographic construction by brains of knowledge from information. 120-124 - Robert Kozma, Mark Myers:
Analysis of phase transitions in KIV with amygdala during simulated navigation control. 125-130 - Barani Raman, Ricardo Gutierrez-Osuna:
Mixture segmentation and background suppression in chemosensor arrays with a model of olfactory bulb-cortex interaction. 131-136 - Derek Harter:
Evolving neurodynamic controllers for autonomous robots. 137-142 - Antonino Staiano, Angelo Ciaramella, Giancarlo Raiconi, Roberto Tagliaferri, Roberto Amato, Giuseppe Longo, Gennaro Miele, Ciro Donalek:
Data visualization methodologies for data mining systems in bioinformatics. 143-148 - Alberto Bertoni, Giorgio Valentini:
Random projections for assessing gene expression cluster stability. 149-154 - Francesco Masulli, Stefano Rovetta:
A new approach to hierarchical clustering for the analysis of genomic data. 155-160 - Alberto Paccanaro, Valery Trifonov, Haiyuan Yu, Mark Gerstein:
Inferring protein-protein interactions using interaction network topologies. 161-166 - Kamel Saadi, Kee Khoon Lee, Gavin C. Cawley, Michael W. Bevan:
Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods. 167-172 - Alexandru G. Floares:
Feedback linearization using neural networks applied to advanced pharmacodynamic and pharmacogenomic systems. 173-178 - Vasilis Zorkadis, M. Panayotou, Dimitrios A. Karras:
Improved spam e-mail filtering based on committee machines and information theoretic feature extraction. 179-184 - Markus Harva, Ata Kabán:
A variational Bayesian method for rectified factor analysis. 185-190 - Kyu-Hwa Jeong, Jian-Wu Xu, José C. Príncipe:
An information theoretic approach to adaptive system training using unlabeled data. 191-195 - Xuchun Li, Lei Wang, Eric Sung:
A study of AdaBoost with SVM based weak learners. 196-201 - Ryotaro Kamimura:
Information maximization and cost minimization in information-theoretic competitive learning. 202-207 - Umut Ozertem, Deniz Erdogmus:
Maximally discriminative spectral feature projections using mutual information. 208-213 - Carlos Alzate, Johan A. K. Suykens:
Extending kernel principal component analysis to general underlying loss functions. 214-219 - Washington Mio, Qiang Zhang, Xiuwcn Liu:
Nonlinearity and optimal component analysis. 220-225 - Makoto Yamada, Ali Pezeshki, Mahmood R. Azimi-Sadjadi:
Relation between kernel CCA and kernel FDA. 226-231 - Kyungsuk David Lee, Michelle Jeungeun Lee, Soo-Young Lee:
Extraction of frame-difference features based on PCA and ICA for lip-reading. 232-237 - Masahiro Kimura, Kazumi Saito, Naonori Ueda:
Multinomial PCA for extracting major latent topics from document streams. 238-243 - Thang Viet Nguyen, Jagdish Chandra Patra, Amitabha Das, Geok See Ng:
Post nonlinear blind source separation by geometric linearization. 244-249 - Holger Fröhlich, Björn Naundorf, Maxim Volgushev, Fred Wolf:
Which features trigger action potentials in cortical neurons in vivo? 250-255 - John G. Taylor, Matthew Hartley, Neill R. Taylor:
Attention as sigma-pi controlled ACh-based feedback. 256-261 - Jason Satel, Thomas Trappenberg, Raymond M. Klein:
Motivational modulation of endogenous inputs to the superior colliculus. 262-267 - Heejin Lim, Yoonsuck Choe:
Facilitatory neural activity compensating for neural delays as a potential cause of the flash-lag effect. 268-273 - Peng Xu, Pamela Abshire:
Fisher information quantifies task-specific performance in the blowfly photoreceptor. 274-279 - Stanley Gotshall, Christopher Canine, Benjamin Jennings, Terence Soule:
Evolutionary training of a biologically realistic spino-neuromuscular system. 280-285 - Rui Xu, Donald C. Wunsch II:
Gene regulatory networks inference with recurrent neural network models. 286-291 - Xiaoxu Xiong, Derong Liu, Huaguang Zhang:
A self-organizing neural network approach for the identification of motifs with insertions and deletions in protein sequences. 292-297 - Nora Speer, Holger Fröhlich, Christian Spieth, Andreas Zell:
Functional grouping of genes using spectral clustering and Gene Ontology. 298-303 - Gustavo Bastos, Katia S. Guimarães:
A simpler Bayesian network model for genetic regulatory network inference. 304-309 - Paul C. Conilione, Dianhui Wang:
Effect of non-target examples on E.coli promoters recognition using neural networks. 310-315 - Bing Wang, De-Shuang Huang, Peng Chen, Yunping Zhu, Yixue Li:
Predicting protein-protein interactions based on protein-domain relationships. 316-319 - Alex Kalos:
Automated heuristic growing of neural networks for nonlinear time series models. 320-325 - Wei Jiang, Seong G. Kong, Gregory D. Peterson:
ECG signal classification using block-based neural networks. 326-331 - Ashraf M. Abdelbar, Ossama Soliman, Sherif Kinawy, Hisham Sayed:
An evolved Seega player capable of strong novice-level play. 332-336 - Dong-Wook Lee, Seong G. Kong, Kwee-Bo Sim:
Evolvable neural networks based on developmental models for mobile robot navigation. 337-342 - Mehmet K. Muezzinoglu, Jacek M. Zuracla:
A recurrent RBF network model for nearest neighbor classification. 343-348 - Patricia Melin, Claudia I. González, Felma Gonzalez, Oscar Castillo:
Face recognition using modular neural networks and fuzzy Sugeno integral for response integration. 349-354 - Frederick G. Harmon, Andrew A. Frank, Sanjay S. Joshi:
Application of a CMAC neural network to the control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle. 355-360 - Luis J. Ricalde, Edgar N. Sánchez:
Inverse optimal nonlinear recurrent high order neural observer. 361-365 - Joy Mazumdar, Ronald G. Harley, Franklin C. Lambert:
System and method for determining harmonic contributions from non-linear loads using recurrent neural networks. 366-371 - Bernardino Castillo-Toledo, A. Hernández Avalos:
On output regulation for SISO nonlinear systems with dynamic neural networks. 372-377 - Rong-Jong Wai, Chia-Chin Chu:
Indirect field-oriented linear induction motor drive with Petri fuzzy-neural-network control. 378-383 - Tsu-Tian Lee, Chih-Min Lin, Chun-Fei Hsu:
Wavelet-neural-network-based backstepping control for chaotic systems. 384-389 - Anatoli Gorchetchnikov, Massimiliano Versace, Michael E. Hasselmo:
Spatially and temporally local spike-timing-dependent plasticity rule. 390-395 - Dominic I. Standage, Thomas Trappenberg:
Differences in the subthreshold dynamics of leaky integrate-and-fire and Hodgkin-Huxley neuron models. 396-399 - Toshimichi Saito, Yoshio Kon'no, Hiroyuki Torikai:
Rich phenomena of pulse-coupled spiking neurons with triangular waveform input. 400-404 - Katsumi Tateno, Hatsuo Hayashi, Satoru Ishizuka:
Synchronized theta rhythm selection in a dentate gyrus network model. 405-409 - Ashok Patel, Bart Kosko:
Noise benefits in spiking retinal and sensory neuron models. 410-415 - Guoping Wang, Misha Pavel:
A spiking neuron representation of auditory signals. 416-421 - Gavyn Pang, Jagath C. Rajapakse:
Comparative genomic study of Parkinson's disease candidate genes. 422-427 - Rasmus Storjohann, Gary F. Marcus:
NeuroGene: integrated simulation of gene regulation, neural activity and neurodevelopment. 428-433 - Michail Maniadakis, Panos E. Trahanias:
A hierarchical coevolutionary method to support brain-lesion modelling. 434-439 - Germano Resconi:
Genome space and structure genome invariants. 440-445 - Nikola K. Kasabov, Lubica Benuskova, Simei Gomes Wysoski:
A computational neurogenetic model of a spiking neuron. 446-451 - Gail A. Carpenter, Siegfried Martens:
Self-organizing hierarchical knowledge discovery by an ARTMAP information fusion system. 452-456 - Michael J. Healy, Richard D. Olinger, Robert J. Young, Thomas P. Caudell, Kurt W. Larson:
Modification of the ART-1 architecture based on category theoretic design principles. 457-462 - Dinani Gomes, Manuel Fernández Delgado, Senén Barro:
A vigilance-free ART network with general geometry internal categories. 463-468 - Ross Peralta, Georgios C. Anagnostopoulos, Eduardo Gómez-Sánchez, Samuel Richie:
On the design of an ellipsoid ARTMAP classifier within the fuzzy adaptive system ART framework. 469-474 - Jimmy Secretan, José Castro, Michael Georgiopoulos, Joe Tapia, Amit Chadha, Brian Huber, Georgios C. Anagnostopoulos, Samuel Richie:
Parallelizing the fuzzy ARTMAP algorithm on a Beowulf cluster. 475-480 - Yi Sun, Mark Robinson, Rod Adams, Paul Kaye, Alistair G. Rust, Neil Davey:
Using real-valued meta classifiers to integrate binding site predictions. 481-486 - Marcilio C. P. de Souto, Shirly C. M. Silva, Valnaide G. Bittencourt, Daniel S. A. de Araujo:
Cluster ensemble for gene expression microarray data. 487-492 - Jing-Jing Li, De-Shuang Huang, Robert M. MacCallum, Xiao-Run Wu:
Characterizing human gene splice sites using evolved regular expressions. 493-498 - Peng Chen, De-Shuang Huang, Bing Wang, Yunping Zhu, Yixue Li:
Prediction of contact map integrated PNN with conformational energy. 499-502 - Jagdish Chandra Patra, Lei Wang, Ee Luang Ang, Narendra S. Chaudhari:
Neural network-based analysis of DNA microarray data. 503-508 - Jagdish Chandra Patra, Qin Zhen, Ee Luang Ang, Amitabha Das:
Neural networks for gene expression analysis and gene selection from DNA microarray. 509-514 - Mihail Bota, Larry W. Swanson:
The molecules module of the brain architecture management system. 515-520 - Xue-Wen Chen, Jeremy Chen:
Protein flexibility modeling using kernel based methods. 521-526 - Valnaide G. Bittencourt, Márjory C. C. Abreu, Marcilio C. P. de Souto, Anne Magály de Paula Canuto:
An empirical comparison of individual machine learning techniques and ensemble approaches in protein structural class prediction. 527-531 - BaiFang Zhang, Zhihang Chen, Yi Lu Murphey:
Protein secondary structure prediction using machine learning. 532-537 - Jinmiao Chen, Narendra S. Chaudhari:
Protein secondary structure prediction with a hybrid RNN/HMM system. 538-541 - Terje Kristensen, Gaurav Kumar:
Entropy based disease classification of proteomic mass spectrometry data of the human serum by a support vector machine. 542-545 - Man Lan, Sam Yuan Sung, Hwee-Boon Low, Chew Lim Tan:
A comparative study on term weighting schemes for text categorization. 546-551 - Takashi Onoda, Hiroshi Murata, Seiji Yamada:
One class support vector machine based non-relevance feedback document retrieval. 552-557 - Taeho Jo, Nathalie Japkowicz:
Text clustering with NTSO (neural text self organizer). 558-563 - Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee:
A neuro-SVM model for text classification using latent semantic indexing. 564-569 - Feng-Yao Liu, Ke Wu, Hai Zhao, Bao-Liang Lu:
Fast text categorization with min-max modular support vector machines. 570-575 - Kazumi Saito, Ryohei Nakano:
Weight sharing on naive Bayes document model. 576-581 - John Zakos, Ping Zhang, Brijesh K. Verma:
Optimization of parameters for effective Web information retrieval using an evolutionary algorithm. 582-587 - Sin Wee Lee, Dominic Palmer-Brown:
Snap-drift learning for phrase recognition. 588-592 - Miao Kang, Dominic Palmer-Brown:
An adaptive function neural network (ADFUNN) for phrase recognition. 593-597 - Mussa Abdella, Tshilidzi Marwala:
Treatment of missing data using neural networks and genetic algorithms. 598-603 - Saravanakumar Srinivasan, Mahmood R. Azimi-Sadjadi:
An iterative relevance feedback learning algorithm for image retrieval systems. 604-609 - Arthur Steven Younger, Emmett Redd:
Design of an optical fixed-weight learning neural network. 610-615 - Richard B. Wells, Anindya Bhattacharya, Ben Sharon, Priyank Gupta, Sam Young, Sanjeev Giri, Terseer Ityavyar, Dave Cox:
Forgetful logic circuits for pulse-mode neural networks. 616-621 - Zhongwen Luo, Hongzhi Liu, Xincai Wu:
Artificial neural network computation on graphic process unit. 622-626 - Xiaolei Zhu, Jizhong Shen, Baoyong Chi, Zhihua Wang:
Circuit implementation of multi-thresholded neuron (MTN) using BiCMOS technology. 627-632 - Yutaka Maeda, Makito Nakatsuka:
FPGA implementation of pulse coupled oscillator. 633-638 - Kazuki Nakada, Tetsuya Asai, Tetsuya Hirose, Yoshihito Amemiya:
Analog current-mode CMOS implementation of central pattern generator for robot locomotion. 639-644 - Yili Quan, Albert H. Titus:
Toward an analog VLSI implementation of a decision making model. 645-650 - Valeriu Bern, Artur Zawadzki:
On Kolmogorov's superpositions: novel gates and circuits for nanoelectronics? 651-656 - Qiuye Zhao, Donald S. Reay:
Hardware implementation of CMAC and B-spline neural networks for embedded applications. 657-662 - Paolo Gastaldo, Giovanni Parodi, Rodolfo Zunino:
DSP-based neural systems for the perceptual assessment of visual quality. 663-668 - Davide Piombo, Rodolfo Zunino:
Analog current-mode design for soft-max computation. 669-674 - Davide Piombo, Rodolfo Zunino:
Analog current-mode design for soft-max computation. 669-674 - Øivind Næss, Snorre Aunet, Yngvar Berg:
Low-voltage pseudo floating-gate reconfigurable linear threshold elements. 675-680 - Davide Anguita, Giovanni Bozza:
The effect of quantization on support vector machines with Gaussian kernel. 681-684 - Hugo de Garis, Wang Ce, Thayne Batty:
Building a cheaper artificial brain. 685-688 - Teppei Nakano, Takashi Morie:
A digital LSI architecture of elastic graph matching and its FPGA implementation. 689-694 - Jeffrey Dungen, Jean-Jules Brault:
Simulated control of a tracking mobile robot by four aVLSI integrate-and-fire neurons paired into maps. 695-699 - Wen Yu, José de Jesús Rubio, Xiaoou Li:
Recurrent neural networks training with stable risk-sensitive Kalman filter algorithm. 700-705 - Yasuaki Kuroe, Kei Miura:
A method of oscillatory trajectory generation using recurrent hybrid neural networks. 706-711 - Shubao Liu, Jun Wang:
A new k-winners-take-all neural network. 712-716 - Paris A. Mastorocostas:
A constrained optimization algorithm for training locally recurrent globally feedforward neural networks. 717-722 - Sylvain Chartier, Sébastien Hélie, Mounir Boukadoum, Robert Proulx:
SCRAM: statistically converging recurrent associative memory. 723-728 - Marco Gori, Gabriele Monfardini, Franco Scarselli:
A new model for learning in graph domains. 729-734 - Gürsel Serpen:
Empirical approximation for Lyapunov functions with artificial neural nets. 735-740 - Luciana P. P. Bueno, Aluízio F. R. Araújo:
Ability to skip steps emerging from chaotic dynamics. 741-746 - Yoshitsugu Kakemoto, Shinichi Nakasuka:
Nonlinear dynamics on VSF-network. 747-752 - Toshijiro Tanaka, Etsumasa Hiura:
Dynamical behavior of a chaotic neural and its application to optimization problems. 753-757 - Masaharu Adachi:
An analysis of associative chaotic neurodynamics by using surrogate neurons. 758-763 - Xiaofei Huang:
A new kind of Hopfield networks for finding global optimum. 764-769 - Colin Molter, Utku Salihoglu, Hugues Bersini:
Learning cycles brings chaos in Hopfield networks. 770-775 - Filip Piekniewski, Tomasz Schreiber:
Phase diagrams for locally Hopfield neural networks in presence of correlated patterns. 776-781 - Ikuko Nishikawa, Kazutoshi Sakakibara, Takeshi Iritani, Yasuaki Kuroe:
2 types of complex-valued Hopfield networks and the application to a traffic signal control. 782-787 - Thanh-Nhat Le, Cong-Kha Pham:
A new N-parallel updating method of the Hopfield-type neural network for N-queens problem. 788-791 - Lars Holmstrom, Roberto A. Santiago, George G. Lendaris:
On-line system identification using context discernment. 792-797 - Manoel Leandro de Lima Junior, Adrião D. D. Neto, Jorge Dantas de Melo:
The k-server problem: a reinforcement learning approach. 798-802 - James L. Carroll, Kevin D. Seppi:
Task similarity measures for transfer in reinforcement learning task libraries. 803-808 - Feng Liu, Chai Quek, Geok See Ng:
Neural network model for time series prediction by reinforcement learning. 809-814 - Tapani Raiko, Matti Tornio:
Learning nonlinear state-space models for control. 815-820 - Satoshi Matsuda:
A neural network model for the decision-making process based on AHP. 821-826 - Ashraf M. Abdelbar, Mostafa A. El-Hemaly, Emad A. M. Andrews, Donald C. Wunsch II:
Negative reinforcement and backtrack-points for recurrent neural networks for cost-based abduction. 827-832 - Lotfi Ben Romdhane, Mourad Elhadef:
Distributed computation for neural-based abductive reasoning. 833-838 - Nisha Mohan, Nikola K. Kasabov:
Transductive modeling with GA parameter optimization. 839-844 - Tasos Falas, Andreas Stafylopatis:
Symbolic rule extraction with a scaled conjugate gradient version of CLARION. 845-848 - Yi Liu, Yuan F. Zheng:
One-against-all multi-class SVM classification using reliability measures. 849-854 - Davide Anguita, Sandro Ridella, Fabio Rivieccio:
K-fold generalization capability assessment for support vector classifiers. 855-858 - Xulei Yang, Qing Song, Aizo Cao:
Weighted support vector machine for data classification. 859-864 - Jian-xiong Dong, Ching Y. Suen, Adam Krzyzak:
Algorithms of fast SVM evaluation based on subspace projection. 865-870 - Kenji Kobayashi, Daisuke Kitakoshi, Ryohei Nakano:
Yet faster method to optimize SVR hyperparameters based on minimizing cross-validation error. 871-876 - Pao-Tsun Lin, Shun-Feng Su, Tsu-Tian Lee:
Support vector regression performance analysis and systematic parameter selection. 877-882 - Xulei Yang, Qing Song, Sheng Liu:
Pre-selection of working set for SVM decomposition algorithm. 883-888 - Sabri Boughorbel, Jean-Philippe Tarel, Nozha Boujemaa:
The intermediate matching kernel for image local features. 889-894 - Eduardo Bayro-Corrochano, Nancy Arana-Daniel:
MIMO SVMs for classification and regression using the geometric algebra framework. 895-900 - Hassiba Nemmour, Youcef Chibani:
Fuzzy integral for a rapid mixture of support vector machines. 901-906 - Mauricio Kugler, Kazuma Aoki, Susumu Kuroyanagi, Akira Iwata, Anto Satriyo Nugroho:
Feature subset selection for support vector machines using confident margin. 907-912 - Holger Fröhlich, Jörg K. Wegner, Andreas Zell:
Assignment kernels for chemical compounds. 913-918 - Yunqian Ma, Vladimir Cherkassky:
Characterization of data complexity for SVM methods. 919-924 - Mathias M. Adankon, Mohamed Cheriet, Nedjem-Eddine Ayat:
Optimizing resources in model selection for support vector machines. 925-930 - Daniel T. H. Lai, Alistair Shilton, Nallasamy Mani, Marimuthu Palaniswami:
A convergence rate estimate for the SVM decomposition method. 931-936 - Ivan Titov, James Henderson:
Deriving kernels from MLP probability estimators for large categorization problems. 937-942 - Tao Ban, Shigeo Abe:
SVM ensembles for selecting the relevant feature subsets. 943-948 - Jooyoung Park, Daesung Kang, Jongho Kim, James Tin-Yau Kwok, Ivor Wai-Hung Tsang:
Pattern de-noising based on support vector data description. 949-953 - Ivor Wai-Hung Tsang, Pak-Ming Cheung, James Tin-Yau Kwok:
Kernel relevant component analysis for distance metric learning. 954-959 - Eric Fock, Alfred Jean Philippe Lauret, Thierry Alex Mara:
A new saliency measure for inputs selection and node pruning in neural network. 960-965 - Leemon Baird, David Smalenberger, Shawn Ingkiriwang:
One-step neural network inversion with PDF learning and emulation. 966-971 - Thuan Q. Huynh, Rudy Setiono:
Effective neural network pruning using cross-validation. 972-977 - Hiroshi Ninomiya, Chikahiro Tomita, Hideki Asai:
An efficient learning algorithm for finding multiple solutions based on fixed-point homotopy method. 978-983 - Sridhar Narayan, Gene A. Tagliarini:
An analysis of underfitting in MLP networks. 984-988 - Ashraf M. Abdelbar, Deena Hassan, Gene A. Tagliarini, Sridhar Narayan:
Experimental evaluation of a hybrid method for configuring ensemble encoding receptors. 989-994 - Haruhiko Takase, Ayumi Nobuto, Hidehiko Kita, Terumine Hayashi:
Dynamic construction of fault tolerant multi-layer neural networks. 995-999 - Michael Brückner:
The p-Center machine. 1000-1005 - Jian Yang, Fuxin Li, Jue Wang:
A better scaled local tangent space alignment algorithm. 1006-1011 - Ramunas Girdziusas, Jorma Laaksonen:
Gaussian processes of nonlinear diffusion filtering. 1012-1013 - Sabeur Abid, Farhat Fnaiech, Barrie W. Jervis, Mohamed Cheriet:
Fast training of multilayer perceptrons with a mixed norm algorithm. 1018-1022 - Boris V. Kryzhanovsky, Vladimir Kryzhanovsky, Anatoly B. Fonarev:
Decorrelating parametrical neural network. 1023-1026 - Eiji Mizutani, Stuart E. Dreyfus, James Weldon Demmel:
Second-order backpropagation algorithms for a stagewise-partitioned separable Hessian matrix. 1027-1032 - Natasha Bagotskaya, Ilia Lossev, Ninel Losseva, Mikhail Parakhin:
Prediction of time to event for censored data: ridge regression with linear constraints in kernel space. 1033-1038 - Parag C. Pendharkar:
A threshold varying bisection method for cost sensitive learning in neural networks. 1039-1044 - Daqi Gao, Mingming Chen, Yongli Li:
A single-layer radial basis function network classifier and its applications. 1045-1050 - Stanislaw Osowski, Tomasz Markiewicz:
OLS versus SVM approach to learning of RBF networks. 1051-1056 - Vanessa Gómez-Verdejo, Jerónimo Arenas-García, Manuel Ortega-Moral, Aníbal R. Figueiras-Vidal:
Designing RBF classifiers for weighted boosting. 1057-1062 - Baofu Duan, Yoh-Han Pao:
Iterative feature weighting for identification of relevant features with radial basis function networks. 1063-1068 - Jie Ni, Qing Song:
Sequential neuron pruning algorithm for RBF network with guaranteed stability. 1069-1074 - Philippe Henniges, Eric Granger, Robert Sabourin:
Factors of overtraining with fuzzy ARTMAP neural networks. 1075-1080 - Gregory A. Klotz, Deborah A. Stacey:
ART2 based classification of sparse high dimensional parameter sets for a simulation parameter selection assistant. 1081-1085 - Ashraf M. Abdelbar, Suzan Abdelshahid, Donald C. Wunsch II:
Fuzzy PSO: a generalization of particle swarm optimization. 1086-1091 - Leszek Rybicki:
Simulating artificial life using Boltzmann machines. 1092-1097 - Jing Xu, Chunyu Liu, Xiaobo Sun:
Artificial cognitive BP-CT ant routing algorithm. 1098-1103 - Yuuki Nakamiya, Mitsunaga Kinjo, Osamu Takahashi, Shigeo Sato, Koji Nakajima:
Basic property of a quantum neural network composed of Kane's qubits. 1104-1107 - Yukari Fujita, Takashi Hiramatsu, Tetsuo Matsui:
Quantum gauged neural networks: learning and recalling. 1108-1113 - Tikara Hosino, Kazuho Watanabe, Sumio Watanabe:
Stochastic complexity of variational Bayesian hidden Markov models. 1114-1119 - Carlos Hernández-Espinosa, Joaquín Torres-Sospedra, Mercedes Fernández-Redondo:
New experiments on ensembles of multilayer feedforward for classification problems. 1120-1124 - Joaquín Torres-Sospedra, Mercedes Fernández-Redondo, Carlos Hernández-Espinosa:
A research on combination methods for ensembles of multilayer feedforward. 1125-1130 - Aliasgar Gangardiwala, Robi Polikar:
Dynamically weighted majority voting for incremental learning and comparison of three boosting based approaches. 1131-1136 - Joaquín Torres-Sospedra, Carlos Hernández-Espinosa, Mercedes Fernández-Redondo:
A comparison of combination methods for ensembles of RBF networks. 1137-1141 - Yangqiu Song, Changshui Zhang:
New boosting methods of Gaussian processes for regression. 1142-1147 - Qutang Cai, Changshui Zhang, Chunyi Peng:
Learning probability density functions from marginal distributions with applications to Gaussian mixtures. 1148-1153 - Robert Redhead, Malcolm Heywood:
Evaluation of cluster combination functions for mixture of experts. 1154-1159 - Wilfredo Jaime Puma Villanueva, Clodoaldo Ap. M. Lima, Euripedes P. dos Santos, Fernando J. Von Zuben:
Mixture of heterogeneous experts applied to time series: a comparative study. 1160-1165 - Alexander Iversen, Nicholas K. Taylor, Keith E. Brown:
Classification and verification through the combination of the multi-layer perceptron and auto-association neural networks. 1166-1171 - Daqi Gao, Shangming Zhu, Wei Chen, Yongli Li:
A classifier ensemble model and its applications. 1172-1177 - Oleksiy Dekhtyarenko:
Systematic rewiring in associative neural networks with small-world architecture. 1178-1181 - Volker Baier:
Motion perception with recurrent self-organizing maps based models. 1182-1186 - Yoshihiro Hayakawa, Hongge Li, Koji Nakajima:
Retrieval property of associative memory with negative resistance. 1187-1192 - Xiaoyan Mu, Paul Watta, Mohamad H. Hassoun:
A weighted voting model of associative memory: theoretical analysis. 1193-1198 - Peter Sussner:
New results on binary auto- and heteroassociative morphological memories. 1199-1204 - Hirotaka Inoue, Hiroyuki Narihisa:
Self-organizing neural grove and its applications. 1205-1210 - Yann Prudent, Abdellatif Ennaji:
An incremental growing neural gas learns topologies. 1211-1216 - John A. Flanagan:
Robust continuous learning in a WTA neural network for clustering symbol strings. 1217-1222 - Joy Bose, Steve B. Furber, Jonathan L. Shapiro:
An associative memory for the on-line recognition and prediction of temporal sequences. 1223-1228 - Naoto Katsumata, Yasuo Matsuyama:
Similar-image retrieval systems using ICA and PCA bases. 1229-1234 - Zhan-Li Sun, De-Shuang Huang, Chun-Hou Zheng, Li Shang:
Blind inversion of Wiener system for single source using nonlinear blind source separation. 1235-1238 - Md. Hasanuzzaman, K. Khrosani:
Blind separation of convolved sources using the information maximization approach. 1239-1244 - Angelo Ciaramella, Roberto Tagliaferri, Francesco Iorio:
BSS Toolbox for delayed and convolved mixtures. 1245-1250 - Mohammed A. Hasan:
Diagonally weighted and shifted criteria for minor and principal component extraction. 1251-1256 - Akihide Horita, Kenji Nakayama, Akihiro Hirano, Yasuhiro Dejima:
Analysis of signal separation and signal distortion in feedforward and feedback blind source separation based on source spectra. 1257-1262 - Mohammed A. Hasau:
Weighted Rayleigh quotients for minor and principal component extraction. 1263-1268 - Razvan Andonie, Angel Cataron:
Feature ranking using supervised neural gas and informational energy. 1269-1273 - Daqi Gao, Zhen Wang, Yongli LI:
An improved kernel Fisher discriminant classifier and its applications. 1274-1279 - Motoki Shiga, Yasunari Yokota:
An optimal entropy estimator for discrete random variables. 1280-1285 - Andrew Hamilton-Wright, Daniel W. Stashuk:
Comparing "pattern discovery" and back-propagation classifiers. 1286-1291 - Abd-Krim Seghouane:
Multivariate regression model selection with KIC for extrapolation cases. 1292-1295 - Qing Song:
Robust information clustering. 1296-1301 - Andriy Mnih, Geoffrey E. Hinton:
Learning nonlinear constraints with contrastive backpropagation. 1302-1307 - Nikolay I. Nikolaev, Peter Tino:
Sequential relevance vector machine learning from time series. 1308-1313 - Takafumi Sasakawa, Jinglu Hu, Kotaro Hirasawa:
Performance optimization of function localization neural network by using reinforcement learning. 1314-1319 - Gavin C. Cawley, Nicola L. C. Talbot:
Sparse Bayesian learning and the relevance multi-layer perceptron network. 1320-1324 - Steve S. H. Ling, Frank Hung-Fat Leung:
Real-coded genetic algorithm with average-bound crossover and wavelet mutation for network parameters learning. 1325-1330 - Shuyuan Yang, Min Wang, Licheng Jiao:
A directional multi-resolution ridgelet network. 1331-1336 - Vassilios Petridis, Anastasios-Antonios Toulkeridis:
The emergence of verbs in an artificial life simulation. 1337-1342 - Steve S. H. Ling, Hak-Keung Lam, Frank Hung-Fat Leung:
A variable-parameter neural network trained by improved genetic algorithm and its application. 1343-1348 - Hao C. Lac, Deborah A. Stacey:
Feature subset selection via multi-objective genetic algorithm. 1349-1354 - Vladimir G. Red'ko, Oleg P. Mosalov, Danil V. Prokhorov:
A model of Baldwin effect in populations of self-learning agents. 1355-1360 - Takashi Yamamichi, Toshimichi Saito, Keisuke Taguchi, Hiroyuki Torikai:
Synthesis of binary cellular automata based on binary neural networks. 1361-1364 - Steve S. H. Ling, Frank Hung-Fat Leung:
Genetic algorithm-based variable translation wavelet neural network and its application. 1365-1370 - Sin Chun Ng, Shu-Hung Leung, Andrew Luk:
Evolution strategies on connection weights into modified gradient function for multi-layer neural networks. 1371-1376 - Jin-Song Pei, Joseph P. Wright, Andrew W. Smyth:
Neural network initialization with prototypes - a case study in function approximation. 1377-1382 - Yu-Yen Ou, Yen-Jen Oyang, Chien-Yu Chen:
A novel radial basis function network classifier with centers set by hierarchical clustering. 1383-1388 - Peggy Israel Doerschuk, Sainath Shrikant Pawaskar:
A simple hierarchical approximation RBF neural network. 1389-1394 - Jussi Pakkanen, Jukka livarinen, Erkki Oja:
The evolving tree, a hierarchical tool for unsupervised data analysis. 1395-1399 - Gabriela E. Martinez, Patricia Melin, Oscar Castillo:
Optimization of modular neural networks using hierarchical genetic algorithms applied to speech recognition. 1400-1405 - Dianhui Wang, Guang-Bin Huang:
Protein sequence classification using extreme learning machine. 1406-1411 - Jianhui Xi, Zhiwei Shi, Min Han:
Analyzing the state space property of echo state networks for chaotic system prediction. 1412-1417 - Yusuke Tanahashi, Xiang-Fang Chin, Kazumi Saito, Ryohei Nakano:
Finding a succinct multi-layer perceptron having shared weights. 1418-1423 - Michael Petrides:
Functional organization of the primate prefrontal cortex for memory. 1424 - Gavin C. Cawley, Nicola L. C. Talbot:
A simple trick for constructing Bayesian formulations of sparse kernel learning methods. 1425-1430 - Holger Fröhlich, Andreas Zell:
Efficient parameter selection for support vector machines in classification and regression via model-based global optimization. 1431-1436 - Xuchun Li, Yan Zhu, Eric Sung:
Sequential bootstrapped support vector machines - a SVM accelerator. 1437-1442 - Jérôme Callut, Pierre Dupont:
Fβ support vector machines. 1443-1448 - Liva Ralaivola, Florence d'Alché-Buc:
Time series filtering, smoothing and learning using the kernel Kalman filter. 1449-1454 - Tao Xiong, Vladimir Cherkassky:
A combined SVM and LDA approach for classification. 1455-1459 - Herbert Jaeger:
Reservoir riddles: suggestions for echo state network research. 1460-1462 - Danil V. Prokhorov:
Echo state networks: appeal and challenges. 1463-1466 - Mustafa C. Ozturk, José C. Príncipe:
Computing with transiently stable states. 1467-1472 - Rui J. P. de Figueiredo:
The role of the RKH space F in the analysis and design of recurrent neural networks. 1473-1478 - Michal Cernanský, Matej Makula:
Feed-forward echo state networks. 1479-1482 - Dongming Xu, Jing Lan, José C. Príncipe:
Direct adaptive control: an echo state network and genetic algorithm approach. 1483-1486 - Christian J. Figueroa, Pablo A. Estévez, Rodrigo Hernández:
Nonlinear mappings based on particle swarm optimization. 1487-1492 - David Meunier, Hélène Paugam-Moisy:
Evolutionary supervision of a dynamical neural network allows learning with on-going weights. 1493-1498 - Robert Stahlbock, Sven F. Crone:
Evolutionary neural classification for evaluation of retail stores and decision support. 1499-1504 - Marvin Oliver Schneider, João Luís Garcia Rosa:
BioAnt - biologically plausible computer simulation of an environment with ants. 1505-1510 - Luiz S. Oliveira, Alceu S. Britto Jr., Robert Sabourin:
Optimizing class-related thresholds with particle swarm optimization. 1511-1516 - Andrew Luk, Sandra Lien:
Lotto-type competitive learning with particle swarm features. 1517-1522 - Julien Doyon, Habib Benali:
Reorganization and plasticity in the adult brain during learning of motor skills. 1523-1524 - Antonia P. Strafella:
Cortico-basal ganglia functional connectivity investigated with transcranial magnetic stimulation. 1525-1527 - Guillaume Marrelec, Julien Doyon, Mélanie Pélégrini-Issac, Habib Benali:
Heading for data-driven measures of effective connectivity in functional MRI. 1528-1533 - Keith J. Worsley, Arnaud Charil, Jason P. Lerch, Alan C. Evans:
Connectivity of anatomical and functional MRI data. 1534-1541 - Hans-Georg Zimmermann, Ralph Grothmann, Anton Maximilian Schäfer, Christoph Tietz:
Dynamical consistent recurrent neural networks. 1537-1541 - Eric Goodman, Dan Ventura:
Effectively using recurrently-connected spiking neural networks. 1542-1547 - Thomas B. DeMarse, Karl P. Dockendorf:
Adaptive flight control with living neuronal networks on microelectrode arrays. 1548-1551 - Colin Molter, Utku Salihoglu, Hugues Bersini:
Introduction of a Hebbian unsupervised learning algorithm to boost the encoding capacity of Hopfield networks. 1552-1557 - Georg Pölzlbauer, Michael Dittenbach, Andreas Rauber:
A visualization technique for self-organizing maps with vector fields to obtain the cluster structure at desired levels of detail. 1558-1563 - Shadi Al Shehabi, Jean-Charles Lamirel:
Multi-topographic neural network communication and generalization for multi-viewpoint analysis. 1564-1569 - Guy Desjardins, Robert Godin, Robert Proulx:
A self-organizing map for concept classification in information retrieval. 1570-1574 - Leigh Wetmore, Ayse Nur Zincir-Heywood, Malcolm I. Heywood:
Training the SOFM efficiently: an example from intrusion detection. 1575-1580 - Tetsuo Furukawa, Kazuhiro Tokunaga, Kenji Morishita, Syozo Yasui:
Modular network SOM (mnSOM): from vector space to function space. 1581-1586 - Gary G. Yen, Zheng Wu:
Ranked centroid projection: a data visualization approach for self-organizing maps. 1587-1592 - Oury Monchi:
fMRI experiments and computational models of the function of the prefrontal cortex and the basal ganglia: a review. 1593-1597 - Jorge Armony:
Computational models of emotion. 1598-1602 - John G. Taylor:
Neural networks of the brain: their analysis and relation to brain images. 1603-1608 - Stephen Grossberg, Gail A. Carpenter, Bilgin Ersoy:
Brain categorization: learning, attention, and consciousness. 1609-1614 - Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz:
Complex hybrid models combining deterministic and machine learning components as a new synergetic paradigm in numerical climate modeling and weather prediction. 1615-1620 - Julien Brajard, Sylvie Thiria, Cédric Jamet, Cyril Moulin:
Atmospheric correction and oceanic constituents retrieval, with a neuro-variational method. 1621-1625 - Sanjay S. P. Rattan, William W. Hsieh, B. Gerben Ruessink:
Nonlinear complex principal component analysis and its applications. 1626-1629 - Alex J. Cannon:
Nonlinear principal predictor analysis using neural networks. 1630-1635 - Yonas B. Dibike, Paulin Coulibaly:
Temporal neural networks for downscaling climate variability and extremes. 1636-1641 - Valliappa Lakshmanan, Indra Adrianto, Travis M. Smith, Gregory Stumpf:
A spatiotemporal approach to tornado prediction. 1642-1647 - Paul Cisek:
A computational model of reach decisions in the primate cerebral cortex. 1648-1652 - Daniel Bullock:
Modeling cortico-subcortical interactions during planning, learning, and voluntary control of actions. 1653-1656 - Daniel S. Levine, Britain Mills, Steven Estrada:
Modeling emotional influences on human decision making under risk. 1657-1662 - John G. Taylor, Nickolaos F. Fragopanagos:
Modelling the interaction of attention and emotion. 1663-1668 - Kazuya Tohyama, Kunihiko Fukushima:
Neural network model for analyzing optic flow. 1669-1674 - Ingo Bax, Gunther Heidemann, Helge J. Ritter:
Face detection and identification using a hierarchical feed-forward recognition architecture. 1675-1680 - Hisashi Aomori, Kohei Kawakami, Tsuyoshi Otake, Nobuaki Takahashi, Massyuko Yamauchi, Mamoru Tanaka:
Lossless high dynamic range image coding based on lifting scheme using nonlinear interpolative effect of discrete-time cellular neural networks. 1681-1686 - Pierre Kornprobst, Thierry Vieille, Ivand K. Dimo:
Could early visual processes be sufficient to label motions? 1687-1692 - Yasuhiro Takachi, Yasuji Sawada:
A phase-equation model for a large phase lead in manual tracking caused by intermittent visual information. 1693-1697 - Karl Lalonde:
Investigations into the analysis of remote sensing images with a growing neural gas pattern recognition algorithm. 1698-1703 - Diego G. Loyola:
Applications of neural network methods to the processing of Earth observation satellite data. 1704-1709 - Julio J. Valdés, Graeme Bonham-Carter:
Time dependent neural network models for detecting changes of state in Earth and planetary processes. 1710-1715 - Dimitri P. Solomatine:
Local and hybrid learning models in forecasting natural phenomena. 1716-1721 - Alexander Ilin, Harri Valpola, Erkki Oja:
Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. 1722-1727 - Vladimir Cherkassky, Vladimir M. Krasnopolsky, Dimitri P. Solomatine, Julio J. Valdés:
Special session panel discussion: methodological issues in the application of learning methods to climate modeling and Earth sciences. 1728 - Wei Qiao, Zhi Gao, Ronald G. Harley:
Continuous on-line identification of nonlinear plants in power systems with missing sensor measurements. 1729-1734 - Pornchai Chanyagorn, Harold H. Szu, Hongye Wang:
Collective behavior implementation in powerline surveillance sensor network. 1735-1739 - José Antonio Ruz Hernández, Edgar N. Sánchez, Dionisio A. Suarez:
Neural networks-based scheme for fault diagnosis in fossil electric power plants. 1740-1745 - Iz Al-Dein Al-Zyoud, Khashayar Khorasani:
Detection of actuator faults using a dynamic neural network for the attitude control subsystem of a satellite. 1746-1751 - Faith Camci, Ratna Babu Chinnam:
Dynamic Bayesian networks for machine diagnostics: hierarchical hidden Markov models vs. competitive learning. 1752-1757 - Marcelo Andrade Teixeira, Gerson Zaverucha:
Fuzzy multi-hidden Markov predictor in electric load forecasting. 1758-1763 - Krzysztof Cpalka, Leszek Rutkowski:
Flexible Takagi-Sugeno fuzzy systems. 1764-1769 - Jyh-Yeong Chang, Chien-Wen Cho:
A new scene analysis using genetic algorithm based fuzzy ID3 method. 1770-1775 - Masayuki Murakami, Nakaji Honda:
A comparative study of the IDS method and feedforward neural networks. 1776-1781 - Neil Toronto, Dan Ventura, Bryan S. Morse:
Edge inference for image interpolation. 1782-1787 - Ernst M. Kussul, Tatiana Baidyk, Donald C. Wunsch II:
Image recognition systems with permutative coding. 1788-1793 - Hazem M. El-Bakry, Qiangfu Zhao:
A modified frequency domain cross correlation implemented in MATLAB for fast sub-image detection using neural networks. 1794-1799 - Wei Qu, Faisal I. Bashir, Daniel Graupe, Ashfaq Khokhar, Dan Schonfeld:
A motion trajectory based video retrieval system using parallel adaptive self organizing maps. 1800-1805 - Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao:
Learning informative features for spatial histogram-based object detection. 1806-1811 - Dileep George, Jeff Hawkins:
A hierarchical Bayesian model of invariant pattern recognition in the visual cortex. 1812-1817 - Lin Lin, Chew Lim Tan:
Text extraction from name cards using neural network. 1818-1823 - Anne-Catherine Scherlen, Vincent Gautier:
Visual deficiency: cognitive performance and adaptive image processing. 1824-1829 - Ming-Jung Seow, Vijayan K. Asari:
On using an associative memory for improving digital color images: color characterization, enhancement, and color balancing. 1830-1835 - Xiaodong Gu, Liming Zhang, Daoheng Yu:
General design approach to unit-linking PCNN for image processing. 1836-1841 - Vladimir G. Yakhno, Irina V. Nuidel, Artem Ivanov:
Model of neuron-like systems: examples of dynamic processes. 1842-1847 - Chia-Feng Juang, Ksuan-Chun Ku, Shin-Kuan Chen:
Temporal hand gesture recognition by fuzzified TSK-type recurrent fuzzy network. 1848-1853 - Paisarn Muneesawang, Ling Guan:
Using knowledge of the region of interest (ROI) in automatic image retrieval learning. 1854-1859 - Carlos Silva Santos, João Eduardo Kögler Jr., Emilio Del Moral Hemandez:
Using independent subspace analysis to build independent spectral representations of images. 1860-1865 - Li Shang, Deshuang Huang, Chunhou Zheng, Zhanli Sun:
Natural image compression using an extended non-negative sparse coding neural network technique. 1866-1871 - Carlos López-Franco, Eduardo Bayro-Corrochano:
Object recognition using neurocomputing and conformal computing geometry. 1872-1877 - Xulei Yang, Qing Song, Sheng Liu:
A robust deterministic annealing algorithm for data clustering. 1878-1882 - Xue-wen Chen, Byron Gerlach, David P. Casasent:
Pruning support vectors for imbalanced data classification. 1883-1888 - Hazem M. El-Bakry, Qiangfu Zhao:
Normalized neural networks for fast pattern detection. 1889-1894 - Sepp Hochreiter, Klaus Obermayer:
Optimal kernels for unsupervised learning. 1895-1899 - Hazem M. El-Bakry, Qiangfu Zhao:
Fast pattern detection using neural networks and cross correlation in the frequency domain. 1900-1905 - Jonathan Milgram, Mohamed Cheriet, Robert Sabourin:
Estimating accurate multi-class probabilities with support vector machines. 1906-1911 - Pradeep M. Patil, Manish P. Deshmukh:
Modular general fuzzy hyperline segment neural network. 1912-1917 - Pradeep M. Patil, Manish P. Deshmukh:
Fourier fuzzy neural network for clustering of objects based on the gross shape and its application to handwritten character recognition. 1918-1923 - Richard Neville:
Third-order generalization and a new approach to systematically categorizing higher-order generalization. 1924-1929 - Ching-Han Chen, Chia Te Chu:
Low complexity iris recognition based on wavelet probabilistic neural networks. 1930-1935 - Seun T. Jan:
Efficient video object classifier using locality-enhanced support vector machines. 1936-1940 - Anne M. P. Canuto, Marcilio C. P. de Souto, Araken M. Santos, Valéria Maria S. Bezerra, Sussany Mirelli:
A comparative analysis of the performance of hybrid and non-hybrid multi-classifier systems. 1941-1946 - Liang Chen:
Pattern classification by assembling small neural networks. 1947-1952 - Antonello Rizzi, Guido Del Vescovo:
A symbolic approach to the solution of F-classification problems. 1953-1958 - Javid J. Huseynov, Zvi Boger, Gary Shubinsky, Shankar B. Baliga:
Optical flame detection using large-scale artificial neural networks. 1959-1964 - Enrique Romero, Josep M. Sopena:
An experimental study of several decision issues for feature selection with multi-layer perceptrons. 1965-1970 - Fei Wang, Jingdong Wang, Changshui Zhang:
Spectral feature analysis. 1971-1976 - Habiboulyae A. Boubacar, Stéphane Lecoeuche, Salah Maouche:
Self-adaptive kernel machine: online clustering in RKHS. 1977-1982 - Hui-Cheng Lian, Bao-Liang Lu:
An algorithm for pruning redundant modules in min-ma modular network [min-ma read min-max]. 1983-1988 - Pradeep M. Patil, Manish P. Deshmukh, P. M. Mahajan:
A novel fuzzy clustering neural network. 1989-1994 - Mohamed Abdulhady, Hazem M. Abbas, Yaser H. Dakrowry, Salwa M. Nassar:
Performance of neural classifiers for fabric faults classification. 1995-2000 - Pradeep M. Patil, Maheshwari Biradar, Snehal Jadhav:
Orientated texture segmentation for detecting defects. 2001-2005 - Yo Horikawa:
Modification of correlation kernels in SVM, KPCA and KCCA in texture classification. 2006-2011 - Ji-Xiang Du, De-Shuang Huang, Xiao-Feng Wang, Xiao Gu:
Neural network-based shape recognition using generalized differential evolution training algorithm. 2012-2017 - Karl Ricanek Jr., Edward L. Boone:
The effect of normal adult aging on standard PCA face recognition accuracy rates. 2018-2023 - Kiyomi Nakamura, Hironobu Takano, Tsukasa Sakamoto:
Face recognition method independent of rotation and size variations. 2024-2029 - Chunghoon Kim, Jiyong Oh, Chong-Ho Choi:
Combined subspace method using global and local features for face recognition. 2030-2035 - Pinaki Shankar Chanda, Sungjin Park:
Low order modeling for multiple moving sound synthesis using head-related transfer functions' principal basis vectors. 2036-2040 - Vincent Lemaire, Fabrice Clérot, Sylvain Busson, Rozenn Nicol, Vincent Choqueuse:
Individualized HRTFs from few measurements: a statistical learning approach. 2041-2046 - Alex Graves, Jürgen Schmidhuber:
Framewise phoneme classification with bidirectional LSTM networks. 2047-2052 - Jong-Seok Lee, Cheol Hoon Park:
Discriminative training of hidden Markov models by multiobjective optimization for visual speech recognition. 2053-2058 - Pierre-Alexandre Fournier, Jean-Jules Brault:
Harmonic envelope prediction for realistic speech synthesis using kernel interpolation. 2059-2063 - Michael Brückner, Werner Dilger:
A soft Bayes perceptron. 2064-2069 - Oleg Skljarov, Tatjana Bortnik:
Chaos and speech rhythm. 2070-2075 - Stéphane Loiselle, Jean Rouat, Daniel Pressnitzer, Simon J. Thorpe:
Exploration of rank order coding with spiking neural networks for speech recognition. 2076-2080 - Aida Araujo Ferreira, Teresa Bernarda Ludermir, Ronaldo R. B. de Aquino:
A comparative study of neural network to artificial noses. 2081-2086 - Carsten Wilks, Rolf Eckmiller:
Optimization of a learning algorithm for tactile pattern generation. 2087-2092 - Daqi Gao, Tong Zhen, Li Yongli:
A combinative function approximation model and its applications to electronic noses. 2093-2098 - Lai-Ping Wong, Alex Leng Phuan Tay, Jian Xu:
A novel hybrid learning scheme for pattern recognition. 2099-2104 - Md. Shahjahan, Md. Monirul Kabir, Kazuyuki Murase:
Convergence of coherent components of neural networks by positive correlation learning. 2105-2110 - Denis Cousineau:
Learning of an XOR problem in the presence of noise and redundancy. 2111-2116 - Emanuelle Reynaud, Hélène Paugam-Moisy:
A multiple BAM for hetero-association and multisensory integration modelling. 2117-2122 - Ryan Poirier, Daniel L. Silver:
Effect of curriculum on the consolidation of neural network task knowledge. 2123-2128 - Richard Gagné, Simon Gagné:
Creation of long-term mental representations using the dimension of fractal dendrites. 2129-2134 - Renan W. F. Vitral, Glaucio F. de Araujo, Fabrizzio C. de Oliveira, Daves M. S. Martins, Eliane Christo, Cristiani M. Vitral, Dimitri M. Abramov:
Neurobiological data sustaining opponent processing operations on self organizing networks as tools for the modeling of hippocampal dynamics. 2135-2138 - Ana Maria C. Aleksandrowicz, Daniel S. Levine:
Neural network approaches to personal change in psychotherapy. 2139-2144 - Shesharao M. Wanjerkhede, Raju S. Bapi:
Role of presynaptic reuptake on dopamine modulation of cortico-striatal activity in TD learning. 2145-2149 - Kazuki Tsutsumi, Osamu Araki:
Two state transitions mediated by spontaneous and/or intensive stimulus on an integrate-and-fire neural network model. 2150-2155 - Abhishek Yadav, Deepak Mishra, Ravindra N. Yadav, Sudipta Ray, Prem K. Kalra:
Learning with single integrate-and-fire neuron. 2156-2161 - Di Wang, Narendra S. Chaudhari, Jagdish Chandra Patra:
Fast constructive-covering approach for neural networks. 2167-2172 - Victor Eliashberg:
Ensembles of membrane proteins as statistical mixed-signal computers. 2173-2178 - Dilip Goswami, Klaus Schuch, Yi Zheng, Thomas B. DeMarse, José C. Príncipe:
Towards the modeling of dissociated cortical tissue in the liquid state machine framework. 2179-2183 - Jinhyuk Choi, Geehyuk Lee:
The bifurcating neuron network 3. 2184-2189 - Nicos G. Pavlidis, O. K. Tasoulis, Vassilis P. Plagianakos, George Nikiforidis, Michael N. Vrahatis:
Spiking neural network training using evolutionary algorithms. 2190-2194 - Leena N. Patel, Alan F. Murray, John Hallam:
Increased swimming control with evolved lamprey CPG controllers. 2195-2200 - Gregory Von Pless, Tayeb Al Karim, Leonid K. Reznik:
Modified time-based multilayer perceptron for sensor networks and image processing applications. 2201-2206 - Yohei Nakada, Taksahi Matsumoto:
On-line Bayesian change detection scheme for unknown nonlinear systems via sequential Monte Carlo. 2207-2212 - Christy Fernandez, Soudabeh Nayeri, Larry Medsker:
Independent component analysis applications in physics. 2213-2216 - Isabel M. Costa, Adrião Duarte Dória Neto, Jorge Dantas de Melo, José Alberto Nicolau de Oliveira:
Embedded fastICA algorithm applied to the sensor noise extraction problem of foundation fieldbus network. 2217-2221 - Salvatore Marra, Francesco Carlo Morabito, Mario Versaci:
Design of neural predictors using tools of chaos theory and Bayesian learning. 2222-2227 - S. Sangeethapriya, M. Manoj Prabhakar:
Harmonic detection using wavelet transform. 2228-2231 - John C. Murray, Harry R. Erwin, Stefan Wermter:
A recurrent neural network for sound-source motion tracking and prediction. 2232-2236 - Domingos Savio Giordani, Amilton Martins dos Santos, Maria Alvina Krahenbuhl, Liliane M. F. Lona:
Artificial neural networks associated to calorimetry to preview polymer composition of high solid content emulsion copolymerizations. 2237-2242 - Chengyi Guo, Qing Song, Wenjian Cai:
Supply air temperature control of AHU with a cascade control strategy and a SPSA based neural controller. 2243-2248 - Hak-Keung Lam, Frank Hung-Fat Leung:
Design and stabilization of sampled-data neural-network-based control systems. 2249-2254 - Chengyi Guo, Qing Song, Wenjian Cai:
Real-time control of variable air volume system using a SPSA based neural controller. 2255-2260 - Annabell Del Real Tamariz, Celso Pascoli Bottura:
Discrete-time systems neuro-Riccati equation solution. 2261-2265 - Min Han, Wei Guo, Jincheng Wang:
Predictive control based on feedforward neural network for strong nonlinear system. 2266-2271 - Masanobu Obika, Kazuo Kawada, Toru Yamamoto, Shoichiro Fujisawa:
Design and experimental evaluation of a 3-mass speed control system with a hybrid structure of sliding mode controller and CMAC. 2272-2277 - Rong-Jong Wai, Ching-Hsiang Tu:
Total sliding-mode-based genetic algorithm for linear piezoelectric ceramic motor drive. 2278-2283 - Tung-Sheng Chiang, Chian-Song Chiu:
Adaptive Tanaka-Sugeno fuzzy cerebellar model articulation controller for output tracking control. 2284-2289 - Chian-Song Chiu, Tung-Sheng Chiang:
Robust output tracking CMAC control: the T-S fuzzy model-based approach. 2290-2295 - Víctor Hugo Ponce Ponce, Felipe Gomez-Castañeda, Jose A. Moreno-Cadenas:
Prototype robotic arm assisted by smart CMOS vision chips. 2296-2301 - Xavier Guilbeault, Stephane Gaudreault, Louis-Philippe Crevier, Joel Martin:
A framework for the verification of air quality forecasting models using self-organizing feature maps. 2302-2307 - Feng Zhang:
Bayesian neural networks for nonlinear multivariate manufacturing process monitoring. 2308-2312 - Guanglan Liao, Tielin Shi, Jianping Xuan:
Feature selection and condition monitoring of gearbox using SOM. 2313-2318 - Xindi Cai, Donald C. Wunsch:
Engine data classification with simultaneous recurrent network using a hybrid PSO-EA algorithm. 2319-2323 - Giuseppe Acciani, Gioacchino Brunetti, Ernesto Chiarantoni, Girolamo Fornarelli:
An automatic method to detect missing components in manufactured products. 2324-2329 - Mario I. Chacon Murguia, Dora A. Rodriguez V., Jose Manny Rivera, Adiel J. Astudillo S.:
Cosmetic defect classification found in ophthalmic lenses using artificial neural networks. 2330-2334 - Abbas Khosravi, Heidar Ali Talebi, Mehdi Karrari:
A neuro-fuzzy based sensor and actuator fault estimation scheme for unknown nonlinear systems. 2335-2340 - Xiao Hu, Greg Clark, M. Travis, John L. Vian, Donald C. Wunsch:
Aircraft cabin noise minimization via neural network inverse model. 2341-2346 - Ehsan Sobhani-Tehrani, Khashayar Khorasani, Siamak Tafazoli:
Dynamic neural network-based estimator for fault diagnosis in reaction wheel actuator of satellite attitude control system. 2347-2352 - Tao Liu, Wenjun Zhang, Zhiping Yu:
Modeling of spiral inductors using artificial neural network. 2353-2358 - Dongho Han, Sung-Phil Kim, José C. Príncipe:
Sparse channel estimation with regularization method using convolution inequality for entropy. 2359-2362 - Masaya Ohta, Hideyuki Yamada, Katsumi Yamashita:
A neural phase rotator for PAPR reduction of PCC-OFDM signal. 2363-2366 - Pedro Henrique Gouvêa Coelho, Luiz Biondi Neto:
Further results on the EKF-CRTRL equalizer for fast fading and frequency selective channels. 2367-2371 - Luiz Pereira Calôba, Gilson A. Alencar, Mauro S. Assis:
Hybrid neural-phenomenological sub-models and its application to Earth-space path signal attenuation prediction. 2372-2377 - Taijun Liu, Slim Boumaiza, Fadhel M. Ghannouchi:
Application of neural networks to 3G power amplifier modeling. 2378-2382 - Dayong Gao, Michael Madden, Des Chambers, Gerard Lyons:
Bayesian ANN classifier for ECG arrhythmia diagnostic system: a comparison study. 2383-2388 - Carlos Eduardo Pedreira, Leonardo Macrini, Elaine S. Costa:
Input and data selection applied to heart disease diagnosis. 2389-2393 - Aaron Lewicke, Edward S. Sazonov, Michael J. Corwin, Stephanie A. C. Schuckers:
Reliable determination of sleep versus wake from heart rate variability using neural networks. 2394-2399 - Philip A. Warrick, Emily F. Hamilton, Maciej Macieszczak:
Neural network based detection of fetal heart rate patterns. 2400-2405 - Oliver Lange, Anke Meyer-Baese, Axel Wismüller:
Exploratory data analysis of dynamic cerebral contrast-enhanced perfusion MRI time-series. 2406-2410 - Rafael Parra-Hernandez, Erik M. Laxdal, Nikitas J. Dimopoulos, Polyxeni Alexiou:
A neural network-based prediction model of AR inhibitory activity from a sparse set of compounds. 2411-2416 - Zhao Lu, Hao Ying, Feng Lin, Stewart Neufeld, Mark Luborsky, David M. Brawn, Andrea Sankar:
Multi-class support vector machines for modeling HIV/AIDS treatment adherence using patient data. 2417-2422 - Vassilis S. Kodogiannis, Maria Boulougoura:
Neural network-based approach for the classification of wireless-capsule endoscopic images. 2423-2428 - Shannon Majowicz, Deborah A. Stacey:
The use of clustering to analyze symptom-based case definitions for acute gastrointestinal illness. 2429-2434 - Xiaohui Zhang, Opas Chutatape:
A SVM approach for detection of hemorrhages in background diabetic retinopathy. 2435-2440 - Matthew J. Kyan, Ling Guan, Steven Liss:
Dynamic feature fusion in the self organising tree map-applied to the segmentation of biofilm images. 2441-2446 - Nadia Mammone, Francesco Carlo Morabito:
Independent component analysis and high-order statistics for automatic artifact rejection. 2447-2452 - Stefan Klinger, Jim Austin:
A neural supergranph matching architecture. 2453-2458 - Yiwen Wang, Sung-Phil Kim, José C. Príncipe:
Comparison of TDNN training algorithms in brain machine interfaces. 2459-2462 - Matthias Böhm, Kurt Stadlthanner, Elmar Wolfgang Lang, Fabian J. Theis, Peter Gruber, Ana Maria Tomé, Ana Rita Teixeira, Carlos García Puntonet:
An algorithm for automatic assignment of artifact-related independent components in biomedical signal analysis. 2463-2468 - Vassilis P. Plagianakos, Dimitris K. Tasoulis, Michael N. Vrahatis:
Computational intelligence techniques for acute leukemia gene expression data classification. 2469-2474 - Julio J. Valdés, Alan J. Barton:
Virtual reality visual data mining with nonlinear discriminant neural networks: application to leukemia and Alzheimer gene expression data. 2475-2480 - Jaime S. Cardoso, Joaquim F. Pinto da Costa, Maria João Cardoso:
SVMs applied to objective aesthetic evaluation conservative breast cancer treatment. 2481-2486 - Rinku Panchal, Brijesh K. Verma:
Classification of breast abnormalities in digital mammograms using image and BI-RADS features in conjunction with neural network. 2487-2492 - Sreenivas Muthyala, Peter Gibbs, Lindsay Turnbull:
Feasibility of multi-layered perceptron network in discriminating breast magnetic resonance imaging lesions. 2493-2495 - Tomasz Markiewicz, Stanislaw Osowski, Bozena Marianska, Leszek Moszczynski:
Automatic recognition of the blood cells of myelogenous leukemia using SVM. 2496-2501 - Chandan Gope, Nasser Kehtarnavaz, Dinish Nair:
Neural network classification of EEG signals using time-frequency representation. 2502-2507 - Nabila Bouzida, Laurent Peyrodie, Christian Vasseur:
ICA and a gauge of filter for the automatic filtering of an EEG signal. 2508-2513 - Ana Rita Teixeira, Ana Maria Tomé, Elmar Wolfgang Lang, Peter Gruber, António Martins da Silva:
On the use of clustering and local singular spectrum analysis to remove ocular artifacts from electroencephalograms. 2514-2519 - Yanfeng Hou, Jacek M. Zurada, Waldemar Karwowski, William M. Marras:
A fully approach for key variables identification of EMG evaluation signal. 2520-2525 - Lau Kah Liong Joshua, Jagath C. Rajapakse:
Extraction of event-related potentials from EEG signals using ICA with reference. 2526-2531 - Fabio La Foresta, Francesco Carlo Morabito, Bruno Azzerboni, Maurizio Ipsale:
PCA and ICA for the extraction of EEG components in cerebral death assessment. 2532-2537 - Tony Jan, Maria H. Kim:
Vector quantized radial basis function neural network with embedded multiple local linear models for financial prediction. 2538-2543 - Takashi Yamashita, Kotaro Hirasawa, Jinglu Hu:
Application of multi-branch neural networks to stock market prediction. 2544-2548 - Dimitry V. Zhora:
Data preprocessing for stock market forecasting using random subspace classifier network. 2549-2554 - Lian Yan, Michael Fassino, Patrick Baldasare:
Predicting customer behavior via calling links. 2555-2560 - Jun-Hua Han, De-Shuang Huang, Tat-Ming Lok, Michael R. Lyu:
A novel image retrieval system based on BP neural network. 2561-2564 - Guobin Ou, Xin Li, XiaoCao Yao, Hongbin Jia, Yi Lu Murphey:
Speaker identification using speech and lip features. 2565-2570 - Xiao Luo, Nur Zincir-Heywood:
Comparison of a SOM based sequence analysis system and naive Bayesian classifier for spam filtering. 2571-2576 - Boris Jansen, Kenji Nakayama:
Neural networks following a binary approach applied to the integer prime-factorization problem. 2577-2582 - E. Habtemariam, Tshilidzi Marwala, Monica Lagazio:
Artificial intelligence for conflict management. 2583-2588 - Patricia Melin, Diana Bravo, Oscar Castillo:
Fingerprint recognition using modular neural networks and fuzzy integrals for response integration. 2589-2594 - Harold Szu, Ming-Kai Hsu:
Chaotic associative memory and private v-mails. 2595-2600 - Anshu Saksena, Dennis Lucarelli, I-Jeng Wang:
Using domain knowledge to constrain structure learning in a Bayesian bioagent detector. 2601-2606 - Juan M. Ramirez:
Power system reduced model by artificial neural networks. 2607-2612 - Roohollah Barzamini, Mohammad Bagher Menhaj, Abbas Khosravi, Shadi Kamalvand:
Short term load forecasting for Iran National Power System and its regions using multi layer perceptron and fuzzy inference systems. 2619-2624 - Paulo Cesar Endo Joaquim, João Luís Garcia Rosa:
Artificial neural networks for temporal processing applied to prediction of electric energy in small hydroelectric power stations. 2625-2630 - Ivette Luna, Secundino Soares, Marina H. Magalhaes, Rosangela Ballini:
Streamflow forecasting using neural networks and fuzzy clustering techniques. 2631-2636 - Christian W. Dawson, Robert J. Abrahart, Asaad Y. Shamseldin, Robert L. Wilby, Linda M. See:
Neural network modelling of the 20-year flood event for catchments across the UK. 2637-2642 - Biswanath Bhattacharya, Dimitri P. Solomatine:
Modelling harbour sedimentation using ANN and M5 model trees. 2643-2648 - Fredric M. Ham, Kamel Rekab, Sungjin Park, Ranjan Acharyya, Young-Chan Lee:
Classification of infrasound events using radial basis function neural networks. 2649-2654 - Asaad Y. Shamseldin, Robert J. Abrahart, Linda M. See:
Neural network river discharge forecasters: an empirical investigation of hidden unit processing functions based on two different catchments. 2655-2660 - Vladimir M. Krasnopolsky, Michael S. Fox-Rabinovitz, Ming-Dah Chou:
Robustness of the NN Approach to emulating atmospheric long wave radiation in complex climate models. 2661-2665 - Christian W. Dawson, Linda M. See, Robert J. Abrahart, Robert L. Wilby, Asaad Y. Shamseldin, Francois Anctil, Ahmed Nabil Belbachir, Gavin J. Bowden, Graeme C. Dandy, Nicolas Lauzon, Holger R. Maier:
A comparative study of artificial neural network techniques for river stage forecasting. 2666-2670 - Momcilo Markus:
Issues in designing automated minimal resource allocation neural networks. 2671-2673 - Kamban Parasuraman, Amin Elshorbagy:
Wavelet networks: an alternative to classical neural networks. 2674-2679 - Mohammad Sajjad Khan, Paulin Coulibaly:
Streamflow forecasting with uncertainty estimate using Bayesian learning for ANN. 2680-2685 - Eros Pasero, Walter Moniaci, Tassilo Meindl:
Intelligent systems for meteorological events forecast. 2686-2688 - Elcio H. Shiguemori, Jose Demisio S. da Silva, Haroldo F. de Campos Velho, João C. Carvalho:
A multilayer perceptron approach for the retrieval of vertical temperature profiles from satellite radiation data. 2689-2693 - Biswanath Bhattacharya, Dimitri P. Solomatine:
Machine learning in soil classification. 2694-2699 - Durga Lal Shrestha, Dimitri P. Solomatine:
Estimation of prediction intervals for the model outputs using machine learning. 2700-2705 - Hyung-Jin Son, Theodore B. Trafalis, Michael B. Richman:
Determination of the optimal batch size in incremental approaches: an application to tornado detection. 2706-2710 - Thanasis G. Barbounis, John B. Theocharis:
Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation. 2711-2716 - Frank L. Lewis:
Neural networks for feedback control of robots and dynamical systems. 2717 - Foaad Khosmood, Franz J. Kurfess:
Automatic source attribution of text: a neural networks approach. 2718-2723 - Pablo A. Estévez, Cristián J. Figueroa, Kazumi Saito:
Cross-entropy approach to data visualization based on the neural gas network. 2724-2729 - Yan Yang, Mohamed Kamel, Fan Jin:
A model of document clustering using ant colony algorithm and validity index. 2730-2735 - Silvia S. C. Botelho, Rodrigo de Bern, Matheus Bacelo de Figueiredo, Willian Lautenschlger, Tania Mezzadri Centeno, Mauricio M. Mata:
A method to extract non-linear principal components of large datasets - an application in skill transfer. 2736-2741 - Hongbin Jia, Yi Lu Murphey, Daniel Gutchess, Tzyy-Shuh Chang:
Identifying knowledge domain and incremental new class learning in SVM. 2742-2747 - Louis Massey:
Real-world text clustering with adaptive resonance theory neural networks. 2748-2753 - Michael E. Hasselmo, Eric A. Zilli:
Hebbian synaptic modification in cortical circuits and memory-guided behavior in spatial alternation and delayed non-match to position. 2754-2759 - Jean-Philippe Thivierge, Evan Balaban:
Faithful retinotopic maps with local optimum rules, axonal competition, and Hebbian learning. 2760-2765 - Shreesh P. Mysore, Steven R. Quartz:
Modeling structural plasticity in the barn owl auditory localization system with a spike-time dependent Hebbian learning rule. 2766-2771 - Sylvain Sirois:
Hebbian motor control in a robot-embedded model of habituation. 2772-2777 - Mototaka Suzuki, Dario Floreano, Ezequiel A. Di Paolo:
Constraints on body movement during visual development affect behavior of evolutionary robots. 2778-2783 - Anindya Sao Paul, Eric A. Wan:
Dual Kalman filters for autonomous terrain aided navigation in unknown environments. 2784-2789 - Kazuko Itoh, Hiroyasu Miwa, Yuko Nukariya, Massimiliano Zecca, Hideaki Takanobu, Paolo Dario, Atsuo Takanishi:
New memory model for humanoid robots - introduction of co-associative memory using mutually coupled chaotic neural networks. 2790-2795 - Shubao Liu, Jun Wang:
Bi-criteria torque optimization of redundant manipulators based on a simplified dual neural network. 2796-2801 - James Malone, Mark Elshaw, Ken McGarry, Chris Bowerman, Stefan Wermter:
Spatio-temporal neural data mining architecture in learning robots. 2802-2807 - Diego Federici:
Fault-tolerance by regeneration: using development to achieve robust self-healing neural networks. 2808-2813 - Kristiaan Pelckmans, Johan A. K. Suykens, Bart De Moor, Jos De Brabanter:
Maximal variation and missing values for componentwise support vector machines. 2814-2819 - Carl Gold, Peter Sollich:
Fast Bayesian support vector machine parameter tuning with the Nystrom method. 2820-2825 - Theodore B. Trafalis, Robin C. Gilbert:
Maximum margin classifiers with noisy data: a robust optimization approach. 2826-2830 - Yen-Jen Oyang, Yu-Yen Ou, Shien-Ching Hwang, Chien-Yu Chen, Darby Tien-Hao Chang:
Data classification with a relaxed model of variable kernel density estimation. 2831-2836 - Shuyuan Yang, Min Wang, Licheng Jiao:
A ridgelet kernel approach for regression using particle swarm optimization algorithm. 2837-2842 - Snorre Aunet, Valeriu Beiu:
Ultra low power fault tolerant neural inspired CMOS logic. 2843-2848 - Takahide Oya, Tetsuya Asai, Ryo Kagaya, Yoshihito Amemiya:
Noise performance of single-electron depressing synapses for neuronal synchrony detection. 2849-2854 - Hiroomi Hikawa:
A new pulse mode self organizing map hardware with digital phase locked loops. 2855-2860 - Luiz Brunelli, Elmar U. K. Melcher, Alisson Vasconcelos de Brito, Raimundo C. S. Freire:
A novel approach to reduce interconnect complexity in ANN hardware implementation. 2861-2866 - Ian Biasi, Andrea Boni, Alessandro Zorat:
A reconfigurable parallel architecture for SVM classification. 2867-2872 - Randal A. Koene, Michael E. Hasselmo:
An integrate and fire model of prefrontal cortex provides a biological implementation of action selection in reinforcement learning theory that reuses known representations. 2873-2878 - Matthew Hartley, Neill R. Taylor, John G. Taylor:
Knowing your place: subfield specific involvement in hippocampal spatial processing. 2879-2884 - Olivier Ménard, Hervé Frezza-Buet:
Coherent learning in cortical maps: a generic approach. 2885-2890 - Julien Vitay, Nicolas P. Rougier:
Using neural dynamics to switch attention. 2891-2896 - Dominic I. Standage, Thomas Trappenberg, Raymond M. Klein:
A continuous attractor neural network model of divided visual attention. 2897-2902 - René Doursat, Jean Petitot:
Bridging the gap between vision and language: a morphodynamical model of spatial categories. 2903-2908 - Guillaume Brat, Ari K. Jónsson:
Challenges in verification and validation of autonomous systems for space exploration. 2909-2914 - Brian J. Taylor, Marjorie A. Darrah:
Rule extraction as a formal method for the verification and validation of neural networks. 2915-2920 - Edgar Fuller, Sampath Yerramalla, Bojan Cukic, Srikanth Gururajan:
An approach to predicting non-deterministic neural network behavior. 2921-2926 - Dragos D. Margineantu, Michael Drumheller, Roman D. Fresnedo:
Testing decision systems with classification components. 2927-2930 - Yan Liu, Bojan Cukic, Sampath Yerramalla, Srikanth Gururajan:
Validity index in dynamic cell structures. 2931-2936 - Steve Piche, Paul Sabiston:
A disturbance rejection based neural network algorithm for control of air pollution emissions. 2937-2941 - Nan Zhang, Shuqing Zeng:
A gradient descending solution to the LASSO criteria. 2942-2947 - Chihli Hung, Stefan Wermter:
A constructive and hierarchical self-organizing model in a non-stationary environment. 2948-2953 - Michael Dittenbach, Andreas Rauber, Georg Pölzlbauer:
Investigation of alternative strategies and quality measures for controlling the growth process of the growing hierarchical self-organizing map. 2954-2959 - Otávio Augusto Salgado Carpinteiro, Rafael Coradi Leme, Antonio C. Zambroni de Souza, Paulo S. Quintanilha Filho:
A hierarchical hybrid neural model with time integrators in long-term peak-load forecasting. 2960-2965 - Ernesto Cuadros-Vargas, Roseli A. Francelin Romero:
Introduction to the SAM-S M* and MAM-S M* families. 2966-2970 - Roberto A. Santiago, George G. Lendaris:
Reinforcement learning and the frame problem. 2971-2976 - James Dankert, Lei Yang, Jennie Si:
An analysis of gradient-based policy iteration. 2977-2982 - Gary G. Yen, Pedro G. DeLima:
An integrated fault tolerant control framework using adaptive critic design. 2983-2988 - Warren B. Powell, Abraham P. George, Belgacem Bouzaïene-Ayari, Hugo P. Simão:
Approximate dynamic programming for high dimensional resource allocation problems. 2989-2994 - Keith Bush, Charles Anderson:
Modeling reward functions for incomplete state representations via echo state networks. 2995-3000 - Thomas Hanselmann, Lyle Noakes, Anthony Zaknich:
Continuous adaptive critic designs. 3001-3006 - Edward S. Sazonov, Timothy Bumpus, Stacey Zeigler, Samantha Marocco:
Classification of plantar pressure and heel acceleration patterns using neural networks. 3007-3010 - Tian Lan, Deniz Erdogmus, André Adami, Michael Pavel:
Feature selection by independent component analysis and mutual information maximization in EEG signal classification. 3011-3016 - Eileen McMahon, Josef Korinek, Honghai Zhang, Milan Sonka, Armando Manduca, Marek Belohlavek:
Neural network and principal component analyses of highly variable myocardial mechanical waveforms derived from echocardiographic ultrasound images. 3017-3022 - Paris A. Mastorocostas, John B. Theocharis:
A recurrent fuzzy-neural filter for real-time separation of lung sounds. 3023-3028 - Nick J. Pizzi, Mark D. Alexiuk, Witold Pedrycz:
Stochastic feature selection for the discrimination of biomedical spectra. 3029-3033 - Tuan Zea Tan, Chai Quek, Geok See Ng:
Ovarian cancer diagnosis using complementary learning fuzzy neural network. 3034-3039 - Paul F. Evangelista, Mark J. Embrechts, Piero P. Bonissone, Boleslaw K. Szymanski:
Fuzzy ROC curves for unsupervised nonparametric ensemble techniques. 3040-3045 - Leonid I. Perlovsky:
Neural network with fuzzy dynamic logic. 3046-3051 - Pablo A. Estévez, Rodrigo J. Flores, Claudio A. Perez:
Color image segmentation using fuzzy min-max neural networks. 3052-3057 - Chia-Feng Juang, Hwai-Sheng Perng, Shin-Kuan Chen:
Skin color segmentation by histogram-based neural fuzzy network. 3058-3062 - Shuqing Zeng, Yongbao He, Jie Jiang:
Learning a hierarchical fuzzy system with autonomous navigation as an example. 3063-3068 - Sumitha L. Balasuriya, Paul Siebert:
A biologically inspired computational vision front-end based on a self-organised pseudo-randomly tessellated artificial retina. 3069-3074 - Hanif Azhar, Khan Iftekharuddin, Robert Kozma:
A chaos synchronization-based dynamic vision model for image segmentation. 3075-3080 - Xiaoli Tao, Howard E. Michel:
Processing Landsat TM data using complex-valued NRBF neural network. 3081-3086 - Mohammed Yeasin, Baptiste Bullot:
Comparison of linear and non-linear data projection techniques in recognizing universal facial expressions. 3087-3092 - Dmitry O. Gorodnichy:
Associative neural networks as means for low-resolution video-based recognition. 3093-3098 - Mitsuo Kawato:
Beyond correlation - closing the loop between brain and theory by extracting representations and altered feedbacks. 3099 - James D. Weiland, Mark S. Humayun:
Artificial vision by electrical stimulation of the retina. 3100-3102 - Richard A. Normann, Daniel McDonnall, Gregory A. Clark, Richard B. Stein, Almut Branner:
Physiological activation of the hind limb muscles of the anesthetized cat using the Utah slanted electrode array. 3103-3108 - Theodore W. Berger, John J. Granacki, Vasilis Z. Marmarelis, Armand R. Tanguay Jr., Sam A. Deadwyler, Greg A. Gerhardt:
Implantable biomimetic electronics as neural prostheses for lost cognitive function. 3109-3114 - Joel Burdick:
Getting better signals out of the brain: decoding algorithms and autonomous electrodes. 3115 - Geoffrey Mealing, Mahmud Bani-Yaghoub, Roger Tremblay, Robert Monette, John Mielke, Raluca Voicu, Christophe Py, Raluca Barjovanu, Karim Faid:
Application of polymer microstructures with controlled surface chemistries as a platform for creating and interfacing with synthetic neural networks. 3116-3120 - Quang Le, Georgios C. Anagnostopoulos, Michael Georgiopoulos, Ken Ports:
An experimental comparison of semi-supervised ARTMAP architectures, GCS and GNG classifiers. 3121-3126 - Ying Wang, Guang-Bin Huang, P. Saratchandran, Narasimhan Sundararajan:
Time series study of GGAP-RBF network: predictions of Nasdaq stock and nitrate contamination of drinking water. 3127-3132 - Ana P. Barros:
Environmental informatics - long-lead flood forecasting using Bayesian neural networks. 3133-3137 - Glenn Guthrie, Deborah A. Stacey, David A. Calvert, Victoria Edge:
Detection of disease outbreaks in pharmaceutical sales: neural networks and threshold algorithms. 3138-3143 - Jagdish Chandra Patra, Ferdinan Widjaja, Amitabha Das, Ee Luang Ang:
A fast neural network-based detection and tracking of dim moving targets in FLIR imagery. 3144-3149 - Reza Derakhshani:
GETnet: a general framework for evolutionary temporal neural networks. 3150-3155 - Walter J. Freeman, Mark D. Holmes:
Temporal discontinuities in neocortical dynamics. 3156-3161 - Roman Ilin, Robert Kozma:
Stability conditions of the full KII model of excitatory and inhibitory neural populations. 3162-3167 - Rod Adams, Lee Calcraft, Neil Davey:
Evolving high capacity associative memories with efficient wiring. 3168-3173 - Seiichi Ozawa, Soon Lee Toh, Shigeo Abe, Shaoning Pang, Nikola K. Kasabov:
Incremental learning for online face recognition. 3174-3179 - Shi Zhong:
Efficient online spherical k-means clustering. 3180-3185 - Hai Zhao, Bao-Liang Lu:
On efficient selection of binary classifiers for min-max modular classifier. 3186-3191 - Tugba Taskaya-Temizel, Khurshid Ahmad:
Are ARIMA neural network hybrids better than single models? 3192-3197 - Roland Memisevic, Geoffrey E. Hinton:
Embedding via clustering: using spectral information to guide dimensionality reduction. 3198-3203 - Kenji Suzuki, Shuji Hashimoto:
On the evaluation of relevance learning by a multi-layer perceptron. 3204-3209 - Haixiang Shi, Lipo Wang:
A hybrid neural network for optimal TDMA transmission scheduling in packet radio networks. 3210-3213 - Jagdish Chandra Patra, Wei Beng Poh, Narendra S. Chaudhari, Amitabha Das:
Nonlinear channel equalization with QAM signal using Chebyshev artificial neural network. 3214-3219 - Eric Danneville, Jean-Jules Brault, Jean-Jacques Laurin:
Implementation of an MLP-based DOA system using a reduced number of MM-wave antenna elements. 3220-3225 - Clodoaldo A. M. Lima, Cynthia Junqueira, Ricardo Suyama, Fernando J. Von Zuben, João Marcos Travassos Romano:
Least-squares support vector machines for DOA estimation: a step-by-step description and sensitivity analysis. 3226-3231 - Jongsoo Choi, Martin Bouchard, Tet Hin Yeap:
Recurrent neural equalization for communication channels in impulsive noise environments. 3232-3237 - Zihong Liu, Zhihua Wang:
A new hybrid neural system interfacing neurons and silicon hardware for fast signal recognition. 3238-3243 - Il Song Han:
Biologically plausible VLSI neural network implementation with asynchronous neuron and spike-based synapse. 3244-3248 - Hiroyuki Torikai, Hiroshi Hamanaka, Toshimichi Saito:
Novel digital spiking neuron and its pulse-coupled network: spike position coding and multiplex communication. 3249-3254 - César Torres-Huitzil, Bernard Girau, Claudio Castellanos Sánchez:
Digital implementation of a bio-inspired neural model for motion estimation. 3255-3260 - Heik Heinrich Hellmich, M. Geike, P. Griep, Phil Mahr, Marco Rafanelli, Heinrich Klar:
Emulation engine for spiking neurons and adaptive synaptic weights. 3261-3266 - Kazuhiro Shimonomura, Tetsuya Yagi:
An orientation-selective multi-chip aVLSI applicable to texture analysis. 3267-3271 - Jana Novovicová, Antonín Malík:
Information-theoretic feature selection algorithms for text classification. 3272-3277 - Holger Bekel, Gunther Heidemann, Helge J. Ritter:
SOM based image data structuring in an augmented reality scenario. 3278-3283 - Mary Malliaris, S. G. Malliaris:
Forecasting energy product prices. 3284-3289 - Adam E. Gaweda, Mehmet K. Muezzinoglu, George R. Aronoff, Alfred A. Jacobs, Jacek M. Zurada, Michael E. Brier:
Reinforcement learning approach to individualization of chronic pharmacotherapy. 3290-3295 - Bernard Widrow, Juan Carlos Aragon:
"Cognitive" memory. 3296-3299 - Lai-Ping Wong, Alex Leng Phuan Tay, Jian Xu:
Hierarchical fast learning artificial neural network. 3300-3305 - Emilio Del-Moral-Hernandez:
Non-homogenous structures in neural networks with chaotic recursive nodes: dealing with diverse multi-assemblies architectures, connectivity and arbitrary bifurcating nodes. 3306-3310 - Koji Mon, Yoshihiko Horio, Kazuyuki Aihara:
Improved chaotic neuro-computer with output-coding for quadratic assignment problems. 3312-3317 - Satoshi Kosuge, Yuko Osana:
Chaotic associative memory using internal patterns for image retrieval by color and shape information. 3318-3323 - Miika Rajala, Risto Ritala:
Transient dynamics of non-linear models describing multi-stable stochastic systems. 3324-3329 - Yong Liu:
How to find different neural networks by negative correlation learning. 3330-3333 - Carver Mead:
Neuromorphic engineering: overview and potential. 3334
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