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ORCIDICNN 1995: Perth, WA, Australia
- Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27 - December 1, 1995. IEEE 1995
Volume 1
- Richard Beare, Andrew J. Blanksby, Abdesselam Bouzerdoum:
Low level visual motion processing using local motion detectors. 1-6 - E. V. Krishnamurthy:
Neural networks-competence and performance. 7-10 - Suresh Hungenahally:
Neural basis for the design of fractional discriminant functions. 11-15 - Binh Pham:
Can computer vision assist creativity? 16-21 - Trefor J. Morgan, Z. Liu, Marimuthu Palaniswami:
Automatic estimation of age at death from human bone cross-sections using neural networks. 22-26 - Suresh K. Hungenahally:
Virtual cockpit: fuzzy neural networks in visual perception. 27-31 - D. Kilpatrick, Raymond Williams:
Unsupervised classification of Antarctic satellite imagery using Kohonen's self-organising feature map. 32-36 - Jeffrey C.-H. Yeh, Leonard G. C. Hamey
, Tas Westcott, Samuel K. Y. Sung:
Colour bake inspection system using hybrid artificial neural networks. 37-42 - Guy Smith, Dennis Longstaff:
A neural network component in a texture classification system. 43-48 - Dapeng Tien:
Identification of sample size needed in a given classification task. 49-52 - Brian B. Miller, Mark D. Bethea:
A computational network for global optimization of particle tracks in stereo image velocimetry. 53-58 - Maeng-Sub Cho, Byoung-Ho Kang, M. Ronnier Luo:
Device calibration of a color image scanner digitizing system by using neural networks. 59-62 - Yohtaro Yatsuzuka:
An error perturbation for learning and detection of local minima in binary 3-layered neural networks. 63-68 - C. W. Tong, K. P. Lam:
Closed semiring optimization circuits using a connectionist approach. 69-72 - T. Trautmann, Thierry Denoeux:
Comparison of dynamic feature map models for environmental monitoring. 73-78 - Juan Cires, Pedro A. Romo, Pedro J. Zufiria:
Comparative analysis of some neural network architectures for data fusion. 79-83 - Chris Charalambous:
Training ANN using linear minimax techniques. 84-89 - Shahram Abdollahi-Alibeik, Farid Nemati, Mehrdad Sharif Bakhtiar:
Analog feedforward neural networks with very low precision weights. 90-94 - Lawrence Peh, Chi Ping Tsang:
Information measure of knowledge extracted from neurons as a tool for analyzing Boolean learning in artificial neural networks. 95-100 - Naonori Ueda, Ryohei Nakano:
Estimating expected error rates of neural network classifiers in small sample size situations: a comparison of cross-validation and bootstrap. 101-104 - G. Deon Oosthuizen, Paul Avenant:
A connectionist approach to learning discrete-valued patterns. 105-110 - Jyrki Joutsensalo, Antti Miettinen:
Self-organizing operator map for nonlinear dimension reduction. 111-114 - Jörg Wille, Thorsten Kolb:
On improved learning algorithms with adaptive parameter regulation in feedforward nets. 115-120 - Brian Kerezsi, Ian Howard:
Vibration fault detection of large turbogenerators using neural networks. 121-126 - Basabi Chakraborty, Yasuji Sawada:
A hierarchical fractal net for pattern classification. 127-131 - Jiancheng Jia, Hock-Chuan Chua:
Solving two-spiral problem through input data representation. 132-135 - Yan Qiu Chen, Mark S. Nixon, Robert I. Damper:
Implementing the k-nearest neighbour rule via a neural network. 136-140 - Paul Stefan Williams, Michael D. Alder:
Generic flaw detection within images. 141-145 - Robert A. McLaughlin, Michael D. Alder:
The Hough transform and the UpWrite: a comparison. 146-151 - Yervant Zorian:
Multi-chip module technology. 152-157 - Alireza Moini, Kamran Eshraghian, Abdesselam Bouzerdoum:
The impact of VLSI technologies on neural networks. 158-163 - S. M. Rezaul Hasan, Kang Siong Ng:
A VLSI BAM neural network chip for pattern recognition applications. 164-168 - Tim Körner, Ulrich Rückert, Shlomo Geva, Kurt Malmstrom, Joaquin Sitte:
A VLSI friendly neural network with localised transfer functions. 169-174 - Tuan A. Duong:
Cascade error projection: an efficient hardware learning algorithm. 175-178 - Juan Garcia Ortega, J. M. Quero, C. L. Janer, Leopoldo García Franquelo:
Synaptic weight generation in VLSI stochastic neural networks. 179-182 - C. J. Chessari, Geoff W. Barton, P. Watson:
On the development of a neural network based orthogonal nonlinear principal component algorithm for process data analysis. 183-188 - Ian Kaminskyj, Andrzej Materka:
Automatic source identification of monophonic musical instrument sounds. 189-194 - Joakim Waldemark, Per-Ola Dovner, Jan Karlsson:
Hybrid neural network pattern recognition system for satellite measurements. 195-199 - Mohamed Aourid, Xuam-Dai Do:
Neural network approximation: application to peak switching overvoltage determination in power systems. 200-204 - Luiz Eduardo Borges da Silva, Germano Lambert-Torres, Ernesto Castillo Saturno, Alexandre P. Alves da Silva, Xuan Dai Do:
Simulation of a neural net controller for motor drives. 205-209 - Byeong-Mook Chung, Chang-Ook Jung, Chang-Hyo Park:
Neuro-fuzzy modeling and control for magnetic field of deflection yoke. 210-215 - Teruo Fujii:
Neural networks for ocean engineering. 216-219 - Ikuo Yamamoto:
Application of neural network to marine vehicle. 220-224 - Yohichi Ogawara:
Feedback-error-learning neural network for the automatic maneuvering system of a ship. 225-230 - Kazuo Ishii, Teruo Fujii, Tamaki Ura:
On-line adaptable controller system for underwater robot. 231-236 - Raymond Lister, James V. Stone:
An empirical study of the time complexity of various error functions with conjugate gradient backpropagation. 237-241 - Ah-Hwee Tan, Loo-Nin Teow:
Learning by supervised clustering and matching. 242-246 - Li H. Chen, Poy B. Tan, Mike K. Weir, Shou K. Foo:
Neural training of complex sequential associations using recurrent continuous backpropagation. 247-252 - Andrea Pelagotti, Vincenzo Piuri:
Entropic optimum synthesis of multi-layered feed-forward ANNs. 253-258 - Martin Birgmeier:
A fully Kalman-trained radial basis function network for nonlinear speech modeling. 259-264 - Adam Krzyzak:
On optimal radial basis function nets and nonlinear function estimates. 265-269 - Rob A. Dunne, N. A. Campbell:
Neighbour-based MLPs. 270-274 - Takashi Onoda:
Neural network information criterion for the optimal number of hidden units. 275-280 - Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita:
On the effect of the nonlinearity of the sigmoid function in artificial neural network classifiers. 281-284 - Ferdinand Peper, Hideki Noda:
A class of simple nonlinear 1-unit PCA neural networks. 285-289 - David A. Elizondo, Emile Fiesler, Jerzy Korczak:
Non-ontogenic sparse neural networks. 290-295 - Ching-Shiow Tseng, Shiow-Shung Yang:
A new orthogonal neural network. 296-299 - Roy L. Streit, Stephen G. Greineder, T. E. Luginbuhi:
Maximum likelihood training of probabilistic neural networks with rotationally related covariance matrices. 300-303 - E. Reyna, D. F. Specht, A. Lee:
Small, fast runtime modules for probabilistic neural networks. 304-308 - Anthony Zaknich, Yianni Attikiouzel:
The modified probabilistic neural network as a nonlinear correlator detector. 309-313 - Zhihong Man, Hong Ren Wu, Kamran Eshraghian, Marimuthu Palaniswami:
An adaptive tracking controller using neural networks for nonlinear systems. 314-319 - J. Kanaka Durgamba, M. W. Cook:
A self-learning neuro fuzzy controller. 320-322 - Yasuaki Kuroe, Ichiro Kimura:
Modeling of unsteady heat conduction field by using composite recurrent neural networks. 323-328 - Diego Andina, José L. Sanz-González, José A. Jiménez-Pajares:
A comparison of criterion functions for a neural network applied to binary detection. 329-333 - Anya L. Tascillo:
A hierarchical anticipatory neural controller with fuzzy spectral filter diagnostics. 334-338 - Long Zhao, Zemin Liu:
Reinforcement learning method for DEDS supervision. 339-344 - Sook Lim, Sung Chun Kim:
Design of fuzzy inference systems using regression trees. 345-348 - Siong K. Tang, Tharam S. Dillon, Rajiv Khosla:
Fuzzy logic and knowledge representation in a symbolic-subsymbolic architecture. 349-353 - James C. Bezdek, Richard J. Hathaway, Witold Pedrycz:
A parametric heterogeneous fuzzy data model. 354-358 - Kazuhiro Kohara:
Neural multivariate prediction using even-knowledge and selective presentation learning. 359-364 - Georg Thimm, Emile Fiesler, Perry Moerland:
Gain elimination from backpropagation neural networks. 365-368 - Mohamad H. Hassoun, Paul Benedict Watta, Rahul Shringarpure:
Cross-validation without a validation set in BP-trained neural nets. 369-372 - Michael Towsey, Dogan Alpsan, Laszlo Sztriha:
Training a neural network with conjugate gradient methods. 373-378 - Cheng-Yuan Liou, Wen-Jen Yu:
Ambiguous binary representation in multilayer neural networks. 379-384 - Xiao-Hu Yu, Guo-An Chen:
Efficient estimation of dynamically optimal learning rate and momentum for backpropagation learning. 385-388 - Norio Baba, Hisashi Handa:
Utilization of hierarchical structure stochastic automata for the back propagation method with momentum. 389-393 - Alois P. Heinz:
Pipelined neural tree learning by error forward-propagation. 394-397 - M. Abu-Mutlaq, Rafik Braham:
A dataflow processing element for neural network simulation. 398-402 - Liang Jin, Madan M. Gupta, Peter N. Nikiforuk:
Universal approximation using dynamic recurrent neural networks: discrete-time version. 403-408 - Yi-Shiou Chen, Tah-Hsiung Chu:
A neural network classification tree. 409-413 - Hong Yan, Jing Wu:
Writer verification using multiple neural networks. 414-417 - Michael Negnevitsky, Tan Loc Le:
Artificial neural networks application for current rating of overhead lines. 418-422 - A. Hafid Zaabab, Qi-Jun Zhang, Michel S. Nakhla:
Application of neural networks in circuit analysis. 423-426 - Chyun-Shin Cheng, Yen-Tseng Hsu, Chwan-Chia Wu:
Fault modeling and reliability evaluations using artificial neural networks. 427-432 - X. Yao, A. K. Tieu, X. D. Fang, D. Frances:
Neural network application to head and tail width control in a hot strip mill. 433-437 - C. M. Hadzer, S. M. Rezaul Hasan, Lau Kwee Sing:
Improved singular value decomposition by using neural networks. 438-442 - Cheolwoo You, Daesik Hong:
Neural convolutional decoders in the satellite channel. 443-448 - Werner G. Teich, Jürgen Lindner:
A novel decoder structure for convolutional codes based on a multilayer perceptron. 449-454 - H. J. Behrend, G. Franke, M. Kander, S. Schiek, G. Schmidt:
Application of a high speed analog neural network chip in the first level RZ-trigger of the H1-experiment at HERA. 455-458 - Yimin Shao, Kikuo Nezu, Kexing Chen, Xiaoping Pu:
Feature extraction of machinery diagnosis using neural network. 459-464 - Kyung Ah Han, Jong Chan Lee, Chi Jung Hwang:
Image clustering using self-organizing feature map with refinement. 465-469 - V. Karri, H. Talhami:
Artificial neural networks for force and power predictions in oblique cutting. 470-475 - Kymie Tan:
The application of neural networks to UNIX computer security. 476-481 - Hsin-Chia Fu, Wen-Lung Tung, Liang-Jzer Shen:
A neural network for the automatic diagnosis of the telephone switching systems. 482-487 - Yoshinori Wada, Narade Pecharanin, Akira Taguchi, Nobukazu Iijima, Yoshinao Akima, Mototaka Sone:
Application of recurrent neural network for active filter. 488-491 - Diego Andina, José L. Sanz-González, Octavio A. Rodríguez-Martín:
Performance improvements for a neural network detector. 492-495 - J.-A. Luzardo, A. Chassiakos, A. Rumbos:
Representation of first order dynamical systems using neural networks. 496-501 - João Gomes, Victor Barroso:
Unsupervised learning for channel equalization using a neural network data receiver. 502-506 - Joakim Waldemark, Patrik Norqvist:
Multiple neural network filtering for in-flight calibration of satellite measurements. 507-510 - Joakim Waldemark:
Using reinforcement learning to solve the labyrinth game, a nonlinear control application. 511-515 - A. Mirsepassi, B. Cathers, H. B. Dharmappa:
Application of artificial neural networks to the real time operation of water treatment plants. 516-521 - Daniel Vincent, John McCardle, Raymond Stroud:
Classification of metal transfer mode using neural networks. 522-525 - Chun Che Fung, Kok Wai Wong, Halit Eren, Robert Charlebois:
Lithology classification using self-organising map. 526-531 - Shigekazu Ishihara, Keiko Ishihara, Mitsuo Nagamachi, Yukihiro Matsubara:
arboART: ART based hierarchical clustering and its application to questionnaire data analysis. 532-537 - Nitzi M. Roehl, Carlos Eduardo Pedreira, H. R. Teles De Azevedo:
Fuzzy ART neural network approach for incipient fault detection and isolation in rotating machines. 538-542 - Bui Tho Thanh:
Neural networks applied to regioselectivity of radical additions. 543-545 - Osamu Saito, Tadashi Sone:
Autonomous fault diagnosis system using learning with queries. 546-549 - Norio Baba, Tomio Kita, Nobuhiro Oda:
Application of neural networks to computer gaming. 550-554 - P. K. Meher, S. K. Pradhan:
Optimal neural network for solution of Lyapunov equation. 555-559 - Mari Oide, Seishi Ninomiya, Nobuo Takahashi:
Perceptron neural network to evaluate soybean plant shape. 560-563 - Ramesh R. Sarukkai:
Prime numbers and output codes. 564-568 - Suthikshn Kumar, Kevin E. Forward, Marimuthu Palaniswami:
An experimental evaluation of neural network approach to circuit partitioning. 569-574 - Ken Nakamura, Kaichi Sagara:
Neuro-aided guidance system for optimum desulphurization treatment in torpedo cars. 575-579 - Akira Taguchi, Mitsuji Muneyasu, Takao Hinamoto:
Median and neural networks hybrid filters. 580-583 - Akira Taguchi, Hironori Takashima:
Data-dependent filters with fuzzy-neural network. 584-587 - Tetsuya Miyoshi, Hidetomo Ichihashi, S. Okamoto, T. Hayakawa:
Learning chaotic dynamics in recurrent RBF network. 588-593 - Chu Kwong Chak, Gang Feng, Chi Ming Cheng:
Orthogonal polynomials neural network for function approximation and system modeling. 594-599 - Kazuyuki Hara, Kenji Nakayama:
Signal classification based on frequency analysis using multilayer neural network with limited data and computation. 600-605 - Junhong Nie, T. H. Lee:
A rule-based channel equalizer with learning capability. 606-611 - Cesare Alippi, Fabio Casamatta, Leonardo Furlan:
Control of the underexcitation mode of synchronous machines in power plants. 612-616 - Tomas Hrycej:
Stability and equilibrium points in neurocontrol. 617-621 - Hamid Beigy, Ali M. Eydgahi, S. D. Katebi:
Elastic fuzzy logic for self-learning control systems. 622-626 - Kenji Iwasa, Noboru Morizumi, Sigeru Omatu:
Pressure control in a plant generating chloride by neural network PID control. 627-630 - Shin-Yenog Kim, Jong-Dam Choi, Kyeong-Bae Yu, Seong-Jay Kim, Se-Yun Lee, Jong-Hoon Lee, Byeong-Won Moon, Yong-Hae Baek:
A temperature control of steel strip using neural network in continuous annealing process. 631-635 - Gildas Cherruel, Yvon Autret, François Dupont:
Identifying and controlling deadband systems using neural networks. 636-639 - Tohru Miyagawa, Yoshihisa Ishida:
Neural network-based model reference control for inverted pendulum. 640-644 - Jeng-Feng Lan, Chung-Yu Wu:
Analog CMOS current-mode implementation of the feedforward neural network with on-chip learning and storage. 645-650 - Pablo A. Estévez, Ryohei Nakano:
Hierarchical mixture of experts and Max-Min propagation neural networks. 651-656 - Horst-Michael Gross, D. Heinke, Hans-Joachim Boehme, Ulf-Dietrich Braumann, Torsten Pomierski:
A behaviour-oriented approach to an implicit "object-understanding" in visual attention. 657-662 - Jacques Ludik, Ian Cloete:
Classification capabilities of architecture-specific recurrent networks. 663-668 - Howard Copland, Tim Hendtlass:
Engram decay in artificial neural networks. 669-673 - Joel de Lima Pereira Castro Junior:
Acquiring semantic power in a "weightless" neural network. 674-679 - Xun Liang:
Network expansion and network compression-further discussion on structure variation methods. 680-685
Volume 2
- Tom Harris, Lee Gamlyn, P. Smith, J. MacIntyre, A. Brason, Robert Palmer, H. Smith, A. Slater:
'NEURAL-MAINE': intelligent on-line multiple sensor diagnostics for steam turbines in power generation. 686-691 - Robert Kozma, Masaharu Kitamura:
Dynamic structure adaptation in feedforward neural networks-an example of plant monitoring. 692-697 - C. H. Zhang, J. M. K. MacAlpine, T. P. Leung, Q. J. Zhou:
Combined inverse system method and neural network for designing nonlinear excitation control law. 698-701 - Lau Buon Sing, Wong Kit Po:
Transient stability assessment: an artificial neural network approach. 702-707 - Shyh-Jier Huang, Chuan-Chang Hung:
Genetic algorithms enhanced Kohonen's neural networks. 708-712 - John S. Mashford:
A neural network image classification system for automatic inspection. 713-717 - Manabu Kotani, Yasuo Ueda, Haruya Matsumoto, Toshihide Kanagawa:
Acoustic diagnosis for blower with wavelet transform and neural networks. 718-723 - Takashi Matsui, Takeki Nogami, Yoshihide Yokoi:
Failure diagnosis for pneumatic control valves by neural network. 724-729 - S. M. Tam, K. C. Cheung:
Using neural network for parts inspection. 730-733 - G. Littlefair, M. A. Javed, Graham T. Smith:
Fusion of integrated multisensor data for tool wear monitoring. 734-737 - Alex Sim, B. Parvin, P. Keagy:
Invariant representation and hierarchical network for inspection of nuts from X-ray images. 738-743 - Chris Matthews, Ilona Jagielska:
Fuzzy rule extraction from a trained multilayer neural network. 744-748 - Junhong Nie, T. H. Lee:
Building fuzzy systems by soft competitive learning. 749-754 - Hiroshi Matsumoto, Yasuji Ohsawa:
An autonomous, adaptive optimization control system with cooperative fuzzy reasoning and a neural network for large scale process operations. 755-759 - Eiji Mizutani, Jyh-Shing Roger Jang:
Coactive neural fuzzy modeling. 760-765 - Tetsuya Miyoshi, Keisuke Nakao, Hidetomo Ichihashi, Kazunori Nagasaka:
Neuro-fuzzy projection pursuit regression. 766-770 - Paulo Camargo Silva:
New forms of combined matrices in fuzzy cognitive maps. 771-776 - Sethu Vijayakumar, Hidemitsu Ogawa:
A functional analytic approach to incremental learning in optimally generalizing neural networks. 777-782 - Min Lu, Kiyotaka Shimizu:
An ε-approximation approach for global optimization with an application to neural networks. 783-788 - Kazuhiro Minamimoto, Kazushi Ikeda, Kenji Nakayama:
Topology analysis of data space using self-organizing feature map. 789-794 - Fernando J. Von Zuben, Márcio Luiz De Andrade Netto:
Unit-growing learning optimizing the solvability condition for model-free regression. 795-800 - Fernando J. Von Zuben, Márcio Luiz De Andrade Netto:
Second-order training for recurrent neural networks without teacher-forcing. 801-806 - Jürgen Bode, Xun Liang, Xiping Zhang, Shouju Ren:
Inserting background knowledge in perceptrons through modification of the learning algorithm. 807-812 - Christopher Boek, Paul Lajbcygier, Marimuthu Palaniswami, Andrew Flitman:
A hybrid neural network approach to the pricing of options. 813-817 - Norio Baba, Hisashi Handa:
Utilization of neural network for constructing a user friendly decision support system to deal stocks. 818-823 - Tong-Seng Quah, Hoon Heng Teh, Chew Lim Tan:
Neural logic hybrid system for currency option trading. 824-828 - Yiu-ming Cheung, Wai-Man Leung, Lei Xu:
A RPCL-CLP architecture for financial time series forecasting. 829-832 - Bernd Freisleben, Klaus Ripper:
Economic forecasting using neural networks. 833-838 - Henry G. Green, Michael A. Pearson:
Artificial intelligence in financial markets. 839-844 - Haosong Kong, Ling Guan:
Detection and removal of impulse noise by a neural network guided adaptive median filter. 845-849 - Jianting Cao, Takashi Yahagi:
Nonlinear adaptive digital filters using parallel neural networks. 850-853 - M. Diepenhorst, J. A. G. Nijhuis, Rienk S. Venema, Lambert Spaanenburg:
Growing filters for finite impulse response networks. 854-859 - Marc M. Van Hulle:
Learning rate adaptation achieved in unsupervised competitive learning: an application to noise cancelling. 860-864 - Paolo Campolucci, Francesco Piazza, Aurelio Uncini:
On-line learning algorithms for neural networks with IIR synapses. 865-870 - Malur K. Sundareshan, Farid Amoozegar:
Data fusion and nonlinear tracking filter implementation using multilayer networks. 871-876 - Herman Wezenberg, Michael B. Dewe:
Adaptive neural networks for tariff forecasting and energy management. 877-881 - Tian Tian, Minzhe Zhu, Boming Zhang:
An artificial neural network-based expert system for network topological error identification. 882-886 - Luonan Chen, Kazuyuki Aihara:
An application of mean field theory to optimal power flow. 887-892 - K. L. Lo, R. J. Y. Tsai:
Power system transient stability analysis by using modified Kohonen network. 893-898 - Thomas Czernichow, Alain Germond, Bernadette Dorizzi, P. Caire:
Improving recurrent network load forecasting. 899-904 - W. W. L. Keerthipala, Low Tah Chong, Tham Chong Leong:
Artificial neural network model for analysis of power system harmonics. 905-910 - F. C. Christo, A. R. Masri, E. M. Nebot, Tamás Turányi:
Utilising artificial neural network and repro-modelling in turbulent combustion. 911-916 - Omar Hammami:
Towards self organizing cache memories using neural networks. 917-922 - Narade Pecharanin, Hideo Mitsui, Mototaka Sone:
Harmonic detection by using neural network. 923-926 - Peter W. Tse, D. D. Wang, Derek P. Atherton:
Improving learning vector quantization classifier in machine fault diagnosis by adding consistency. 927-931 - Michael R. Berthold, Fay Sudweeks:
Typicality in computer mediated discussions-an analysis with neural networks. 932-936 - Francesco Carlo Morabito:
Equilibrium parameters recovery for experimental data in ASDEX Upgrade elongated plasmas. 937-941 - Anthony Adams, Sam Waugh:
Function evaluation and the cascade-correlation architecture. 942-946 - Murray W. Mount, Andrew P. Paplinski:
2D simulations of cortical networks in a neural processor array model. 947-952 - Ingrid Kirschning, Hideto Tomabechi, Jun-Ichi Aoe:
A parallel recurrent cascade-correlation neural network with natural connectionist glue. 953-956 - Ruowei Zhou, Chai Quek:
A pseudo outer-product based fuzzy neural network. 957-962 - Anke Meyer-Bäse, Rolf Watzel:
Relevant features selection with radial basis neural networks. 963-967 - Eel-Wan Lee, Soo-Ik Chae:
New classifier with reduced computational complexity. 968-973 - Ryotaro Kamimura, Shohachiro Nakanishi:
Minimum α-information strategy for the interpretation of the network behaviors and the improved generalization. 974-978 - Yasubumi Sakakibara, Mostefa Golea:
Simple recurrent networks as generalized hidden Markov models with distributed representations. 979-984 - Ryotaro Kamimura, Shohachiro Nakanishi:
Information maximization for feature detection and pattern classification by autoencoders. 985-989 - Michel Verleysen, Jean-Luc Voz, Philippe Thissen, Jean-Didier Legat:
A statistical neural network for high-dimensional vector classification. 990-994 - Juha Karhunen, Liuyue Wang, Ricardo Vigário:
Nonlinear PCA type approaches for source separation and independent component analysis. 995-1000 - Liang-Jie Zhang, Yanda Li, Huimin Chen:
A novel global training algorithm and its convergence theorem for fuzzy neural networks. 1001-1006 - J. H. L. Kong, G. P. M. D. Martin:
A backpropagation neural network for sales forecasting. 1007-1011 - Jingtao Yao, Hean-Lee Poh:
Forecasting the KLSE index using neural networks. 1012-1017 - Woon-Seng Gan, Kah Hwa Ng:
Multivariate FOREX forecasting using artificial neural networks. 1018-1022 - Keith C. C. Chan, Foo Kean Teong:
Enhancing technical analysis in the forex market using neural networks. 1023-1027 - Frank M. Thiesing, Ulrich Middelberg, Oliver Vornberger:
Short term prediction of sales in supermarkets. 1028-1031 - Alireza Khotanzad, Alireza Abaye, Dominic Maratukulam:
An adaptive and modular recurrent neural network based power system load forecaster. 1032-1036 - John V. Kennedy, Jim Austin, Rick Pack, Bruce Cass:
C-NNAP-a parallel processing architecture for binary neural networks. 1037-1041 - Richard Stuart Neville, Ray J. Glover, T. John Stonham:
Evaluation of training and mapping Sigma-pi networks to a massively parallel processor. 1042-1047 - Jim Tørresen, Hiroshi Nakashima, Shinji Tomita, Olav Landsverk:
General mapping of feed-forward neural networks onto an MIMD computer. 1048-1053 - Gaute Myklebust, Jon G. Solheim:
Parallel self-organizing maps for actual applications. 1054-1059 - Patrick van der Smagt, Frans C. A. Groen:
Approximation with neural networks: between local and global approximation. 1060-1064 - Johan A. K. Suykens, Joos Vandewalle:
Global asymptotic stability criteria for multilayer recurrent neural networks with applications to modelling and control. 1065-1069 - Anthony N. Michel, Derong Liu:
Theory and applications of sparsely interconnected feedback neural networks. 1070-1075 - Andrea Maccato, Rui J. P. deFigueiredo:
On the design and initialization of layered feed-forward neural networks. 1076-1079 - Chaw Koh Yong:
Intact egg freshness quality inspection using neural networks. 1080-1085 - Dieter Merkl:
Content-based software classification by self-organization. 1086-1091 - Dimitris A. Karras, E. J. Hatzakis, P. E. Tziannos, N. Paritsis:
Neural networks in multidimensional problems: a case study for questionnaire classification. 1092-1097 - Constantinos C. Neocleous, Christos N. Schizas:
Artificial neural networks in marine propeller design. 1098-1102 - Gregory P. Johnson, Frank C. Lin:
Hurricane tracking via backpropagation neural network. 1103-1106 - Satoshi Matsuda:
Theoretical considerations on the capabilities of crossbar switching by Hopfield networks. 1107-1110 - Tim Hendtlass:
A self organizing artificial neural network with problem dependent structure. 1111-1115 - Goutam Chakraborty, Mitsuru Murakami, Norio Shiratori, Shoichi Noguchi:
A growing network that optimizes between undertraining and overtraining. 1116-1120 - Fabio Lavagetto:
Maximizing the target-pattern cross-correlation for training time-delay neural networks. 1121-1125 - George H. John:
Cascade correlation: derivation of a more numerically stable update rule. 1126-1129 - Jorge Alberto Horas, Pedro Marcelo Pasinetti:
Learning and generalization in a coulombian network. 1130-1133 - Cüneyt Güzelis, S. Karamahmut:
Recurrent perceptron learning algorithm for CNNs with application to edge detection. 1134-1139 - Trevor Hogg, David Rees, Habib Talhami:
Three-dimensional pose from two-dimensional images: a novel approach using synergetic networks. 1140-1144 - Phillip Evans, John Fulcher, Philip Ogunbona:
Industrial computer vision using undefined feature extraction. 1145-1149 - Robert J. Howlett, D. H. Lawrence:
A multi-computer neural network applied to machine-vision. 1150-1153 - Devesh Patel, E. R. Davies:
Low contrast object detection using a MLP network designed by node creation. 1155-1159 - Erkki Oja, Kimmo Valkealahti:
Compressing higher-order co-occurrences for texture analysis using the self-organizing map. 1160-1164 - Duncan A. Campbell, Laurence W. Cahill:
Transient discrimination in nonlinear time series using linear-phase time-delay neural networks. 1165-1169 - Hisashi Shimodaira:
A method of selecting similar learning data in the prediction of time series using neural networks. 1170-1175 - Hisashi Shimodaira:
A method of selecting learning data in the prediction of time series with explanatory variables using neural networks. 1176-1181 - Keihiro Ochiai, Hideto Suzuki, Kazuhiko Shinozawa, Masaharu Fujii, Noboru Sonehara:
Snowfall and rainfall forecasting from weather radar images with artificial neural networks. 1182-1187 - Tania Stathaki, Anthony G. Constantinides:
Lagrange programming neural networks for blind Volterra system modelling. 1188-1193 - Torben Fog, Jan Larsen, Lars Kai Hansen:
Training and evaluation of neural networks for multi-variate time series processing. 1194-1199
Volume 3
- Bandula W. Dahanayake, A. R. M. Upton:
Learning with ease: smart neural nets. 1200-1205 - Sam Waugh, Anthony Adams:
Pruning within cascade-correlation. 1206-1210 - Gareth Howells, Michael C. Fairhurst, David L. Bisset:
PCN: the probabilistic convergent network. 1211-1214 - Loo-Nin Teow, Ah-Hwee Tan:
Adaptive integration of multiple experts. 1215-1220 - Akira Hirose, Rolf Eckmiller:
Proposal of coherent optical neural networks whose behavior is controlled by optical frequency. 1221-1224 - S. M. Seow, K. P. Lam:
Connectionist-network auction algorithm for the assignment problem. 1225-1228 - Jin-Yan Li, Tommy W. S. Chow, Ying-Lin Yu:
The estimation theory and optimization algorithm for the number of hidden units in the higher-order feedforward neural network. 1229-1233 - Guoyin Wang, Hongbao Shi:
Parallel neural network architectures. 1234-1239 - Gasser Auda, Mohamed Kamel, Hazem M. Raafat:
Voting schemes for cooperative neural network classifiers. 1240-1243 - Marcello Baptista de Martino:
A partially recurrent architecture applied to classification problems. 1244-1248 - Jar-Ferr Yang, Chi-Ming Chen:
Computational neural networks. 1249-1253 - Yongke Zhang, Yongjun Zhang, Wei Ye:
Local-sparse connection multilayer networks. 1254-1257 - Paolo Maffezzoni, Paolo Gubian:
A new unsupervised learning algorithm for the placement of centers in a radial basis function neural network (RBFNN). 1258-1262 - Klaus-Peter Huber, Michael R. Berthold:
Building precise classifiers with automatic rule extraction. 1263-1268 - Jae Hung Yoo, Ishwar K. Sethi:
Design of radial basis function networks using decision trees. 1269-1272 - Kotaro Hirasawa, Masanao Ohbayashi, Junichi Murata:
Universal learning network and computation of its higher order derivatives. 1273-1277 - Zhou Liqing, Liu Zemin:
A three-hierarchy neural network structure and its application to the speaker-independent speech recognition of Chinese words. 1278-1281 - Dong Hyuk Choi, Won Ho Choi:
Design of a partially activated neural network. 1282-1286 - Masaru Koga, Kotaro Hirasawa, Junichi Murata, Masanao Ohbayashi:
Chaos control using second order derivatives of universal learning network. 1287-1292 - Toshio Tsuji, Hiroyuki Ichinobe, Osamu Fukuda, Makoto Kaneko:
A maximum likelihood neural network based on a log-linearized Gaussian mixture model. 1293-1298 - Harry C. S. Rughooputh, Jay K. Backory:
Fault-tolerant MLP networks for improved reliability and safety. 1299-1303 - Motonobu Hattori, Masafumi Hagiwara:
Knowledge processing system using multidirectional associative memory. 1304-1309 - Young-Joo Moon, Se-Young Oh:
On an efficient design algorithm for modular neural networks. 1310-1315 - Akinori Furukawa, Naohiro Ishii:
Unsupervised learning of concept for action planning. 1316-1321 - Akbar Farhoodi Nejad, Tamás D. Gedeon:
Bidirectional neural networks and class prototypes. 1322-1327 - Qing Ma:
Connectionist realization of semantic networks using an adaptive associative memory, AAM. 1328-1333 - Songhe Zhao, Tharam S. Dillon:
Incorporating additional hint neurons in recurrent neural networks to improve convergence. 1334-1337 - Tirthankar RayChaudhuri, Leonard G. C. Hamey:
Minimisation of data collection by active learning. 1338-1341 - Liang Chen, Jianjun Yan, Yongbao He:
A new approach for the automatic generation of membership functions and rules of multi-variable fuzzy system. 1342-1346 - M. E. Ulig:
Event representation in fuzzy neural networks with qualitative inputs. 1347-1352 - Mei-En Chen, Yo-Ping Huang:
Dynamic fuzzy reasoning model with fuzzy cognitive map in Chinese chess. 1353-1357 - Jen-Yang Chen, Ying-Hao Lin:
A self-tuning fuzzy controller design. 1358-1362 - Lin Yu Tseng, Tzu Han Huang:
A modular design of fuzzy neural network with application to telecommunication network management control. 1363-1368 - Paul Im, Bin Qiu, M. Wingate, L. Herron:
Implementing a neural network for a progressive fuzzy clustering algorithm. 1369-1372 - Eun-Jung Holden, Geoffrey G. Roy, Robyn A. Owens:
Adaptive classification of hand movement. 1373-1378 - Katsuhiko Tsujino:
Hybrid knowledge acquisition by integrating decision trees and neural networks. 1379-1383 - K. W. Lee, H. N. Lam:
Optimising neural network weights using genetic algorithms: a case study. 1384-1388 - Wei Lu, Zhijian Li, Bingxue Shi:
Handwritten digits recognition with neural networks and fuzzy logic. 1389-1392 - Chang Joo Lee, Chan Geun Yoon, Choong Woong Lee:
A new learning method to improve the category proliferation problem in fuzzy ART. 1393-1396 - J. H. L. Kong, G. P. M. D. Martin:
A review of a hybrid neural network: Kohonen learning vector quantization and counterpropagation. 1397-1402 - Koji Shimojima, Toshio Fukuda, Yasuhisa Hasegawa:
Hierarchical control system based on unsupervised fuzzy-neuro system. 1403-1408 - Victor Navoarro Araujo Lemos da Silva, Guilherme N. F. de Souza, Gerson Zaverucha:
An integration of neural networks and nonmonotonic reasoning for power system diagnosis. 1409-1413 - Yifeng Chen, Yuanda Cao:
A hybrid neural network for spatio-temporal pattern recognition. 1414-1417 - Yifeng Chen, Zhuoqun Xu:
A high-dimensional SOFM vector quantizer with weightless neural predictor. 1418-1421 - Sung-Wai Hong, Yuk-Hee Chan, Wan-Chi Siu:
The neural network modelled POCS method for removing blocking effect. 1422-1425 - Haruyuki Iwata, Takeshi Agui, Hiroshi Nagahashi:
Boundary detection of color images using neural networks. 1426-1431 - HongBin Ji, Zhen Liu, Y. Aoki:
The coordinates of the four corners of image date files and their applications [for date read data]. 1432-1437 - Jung-Hua Wang, Min-Der Yu:
Image restoration by the adaptive fuzzy backpropagation hybrid network. 1438-1443 - Dan Ghica, Siwei Lu, Xiaobu Yuan:
Recognition of traffic signs by artificial neural network. 1444-1449 - Tai-Wen Yue, Guo-Tai Chen:
An auto-invertible neural network for image halftoning and restoration. 1450-1455 - Terumitsu Ohyama:
Neural network-based regions detection. 1456-1459 - Jayanta Basak, Nikhil R. Pal, P. S. Patel:
A connectionist model for graytone thinning. 1460-1465 - Salim Tariq, Mahmoud K. Habib:
Neuron-type operation using stimulated Raman scattering. 1466-1469 - Takayuki Morishita, Iwao Teramoto:
Processing cell array neural network multiprocessors. 1470-1473 - Jong-Moon Kim, Yoonseon Song, Myung-Won Kim:
Digital neural processor for parallel structure and cost performance comparison of the architectures. 1474-1477 - S. T. Lee, K. T. Lau:
A reconfigurable low-voltage low-power building block for artificial neural networks. 1478-1481 - Gian Carlo Cardarilli, Gabriele Di Stefano, G. Fabrizi, P. Marinucci:
Analysis and implementation of a VLSI neural network. 1482-1486 - Kunihito Yamamori, Susumu Horiguchi, J. H. Kim, S.-K. Park, Byung H. Ham:
The efficient design of fault-tolerant artificial neural networks. 1487-1491 - Joonho Lim, Soo-Ik Chae:
Ratio pulse arithmetic for radial basis function network. 1492-1495 - Per Printz Madsen:
Neural network for optimization of existing control systems. 1496-1501 - Chua-Chin Wang, In-Hau Horng:
Realization of bidirectional associative memory using a pseudo-parallel searching approach. 1502-1507 - Richard H. Tsai, Eric Y. Chou, Bing J. Sheu, Theodore W. Berger:
A hippocampal model implementation using VLSI table-look-up and model-based approaches. 1508-1512 - Tohru Nitta:
Ability of the complex backpropagation algorithm to learn similar transformation. 1513-1516 - Masaya Ohta, Akio Ogihara, Shinobu Takamatsu, Kunio Fukunaga:
A study on the mechanism of the minimum searching by the chaotic neural network. 1517-1520 - Hiroaki Kurokawa, Shinsaku Mori:
A learning method to control the frequency of the oscillatory neural network. 1521-1524 - Natsuhiro Ichinose, Kazuyuki Aihara, Yoichi Okabe:
An analysis of coincidence detector networks. 1525-1529 - Vladimir Chinarov:
Nonequilibrium dynamics in neural networks consisting of excitatory and inhibitory populations. 1530-1534 - Shigeki Sugiyama:
Twofold type of backpropagation neural network. 1535-1540
Volume 4
- Gregory Noone, Stephen D. Howard:
Investigation of periodic time series using neural networks and adaptive error thresholds. 1541-1545 - Peter K. Campbell, Michael Dale, Herman L. Ferrá, Adam Kowalczyk:
Neural networks in real time control of telecommunication networks. 1546-1551 - Qin Zhou, A. K. Y. Lai:
Analysis of fast fading in multipath propagation by forward-only counterpropagation network. 1552-1556 - Matthias Oliver Berger:
Neural channel assignment-the fast way. 1557-1560 - Tang Haitao, Olli Simula:
Neural adaptation for optimal traffic shaping in telephone systems. 1561-1565 - Kimmo Raivio, Jukka Henriksson, Olli Simula:
Neural detection of QAM modulation in the presence of interference. 1566-1569 - Johan A. K. Suykens, Joos Vandewalle:
On the identification of a chaotic system by means of recurrent neural state space models. 1570-1573 - Hiroyuki Torikai, Toshimichi Saito:
Spatiotemporal pattern generation by control and synchronization of chaos. 1574-1577 - Shin Ishii:
Chaotic Potts spin. 1578-1583 - Hideki Asai, Katsuaki Onodera, Takeshi Kamio, Hiroshi Ninomiya:
A study of Hopfield neural networks with external noises. 1584-1589 - Cong-Kha Pham, Tetsuya Kimura, Munemitsu Ikegami, Mamoru Tanaka:
Pulse coded cellular neural network and it's hardware implementation. 1590-1594 - Leonard T. Bruton, N. R. Bartley, Zhi-Qiang Liu:
The classification of motion in image sequences using 3D recursive adaptive filters to obtain neural network input vectors. 1595-1599 - Daniel L. Swets, John (Juyang) Weng:
Efficient image retrieval using a network with complex neurons. 1600-1605 - James M. Keller, Dayou Wang, C. Andrew Carson, Kelly K. McAdoo, Craig W. Bailey:
Improved recognition of E. coli 0157: H7 bacteria from pulsed-field gel electrophoresis images through the fusion of neural networks with fuzzy training data. 1606-1610 - Xinhui Zhang:
Relaxation labeling and associative memory. 1611-1616 - James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal:
Shell-prototype clustering models. 1617-1621 - V. Chandrasekaran, Zhi-Qiang Liu, Marimuthu Palaniswami:
Fuzzy gated neuronal architecture for pattern recognition. 1622-1627 - Takashi Morie, Osamu Fujita, Kuniharu Uchimura:
Self-learning neural network LSI with high-resolution non-volatile analog memory. 1628-1632 - Hiroomi Hikawa:
Implementation of simplified multilayer neural networks with on-chip learning. 1633-1637 - Aleksander Kolcz, Nigel M. Allinson:
General memory neural network-extending the properties of basis networks to RAM-based architectures. 1638-1643 - A. Basaglia, William Fornaciari, Fabio Salice:
Behavior-driven minimal implementation of digital ANNs. 1644-1649 - Eric Y. Chou, Bing J. Sheu, Steve H. Jen:
A compact VLSI design for recursive neural networks with hardware annealing capability. 1650-1655 - Jar-Shone Ker, Yau-Hwang Kuo, Bin-Da Liu:
Hardware realization of higher-order CMAC model for color calibration. 1656-1661 - Robert E. Mahony, John B. Moore, Lane Dailey:
Locally C1 interpolation of functions on an arbitrary simplex mesh using a simple feed-forward perceptron. 1662-1667 - Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Learning critical temperature for homomorphic ARG matching by self-organising Hopfield network. 1668-1673 - Satoshi Matsuda:
Theoretical comparison of mappings of combinatorial optimization problems to Hopfield networks. 1674-1677 - Laurent Hérault:
Optimization by pulsed recursive neural networks. 1678-1683 - Liuyue Wang, Juha Karhunen, Erkki Oja:
A bigradient optimization approach for robust PCA, MCA, and source separation. 1684-1689 - S. Mohamed Aourid, X. Dai Do, Bozena Kaminska:
Penalty formulation for 0-1 linear programming problem: a neural network approach. 1690-1693 - Gordon W. H. German:
The use of multilayered perceptrons for remote sensing classification with temporal data. 1694-1698 - Anthony Zaknich, Yianni Attikiouzel:
Detection of sodium oxalate needles in optical images using neural network classifiers. 1699-1702 - Mitsuji Muneyasu, Kentaro Hotta, Takao Hinamoto:
Image restoration by Hopfield networks considering the line process. 1703-1707 - Dimitrios Kalogeras, Stefanos D. Kollias:
Low bit rate coding of image sequences using neural networks. 1708-1712 - Antanas Verikas, Kerstin Malmqvist:
Increasing colour image segmentation accuracy by means of fuzzy post-processing. 1713-1718 - Jin-Ho Lee, Dong-Sun Park:
Modular neural net architecture for one-step thinning algorithm. 1719-1723 - Afsaneh A. Safavi, José A. Romagnoli:
Application of wave-nets to modelling and optimisation of a multidimensional chemical process. 1724-1728 - Hiroyuki Shibayama, Toshimichi Saito:
Prediction of bifurcation from chaotic circuit with RBF. 1729-1732 - Leung Fu Cheung, Leong Kwan Li:
Approximating elliptic PDE by perturbation of neural dynamics. 1733-1738 - Jan C. Bioch, Robert Carsouw, Rob Potharst:
On the mapping of linear classification trees onto one-hidden-layer neural nets. 1739-1743 - Søren Kamaric Riis:
Combining neural networks for protein secondary structure prediction. 1744-1748 - Jürgen Bode, Shouju Ren, Zhongzhi Shi:
Application of 3-layer perceptrons to cost estimation. 1749-1754 - Motonobu Hattori, Masafumi Hagiwara:
Multimodule associative memory for many-to-many associations. 1755-1760 - Han-Bing Ji, Kwong-Sak Leung, Yee Leung:
Gaussian correlation associative memory. 1761-1766 - Peter Ott:
Mean-field theory of the three-level associative memory and its synthesis. 1767-1771 - André Neubauer:
A study of extended learning strategies for bidirectional associative memories. 1772-1776 - Yun Peng, Zonglin Zhou, Erik McClenney:
Relaxing backpropagation networks as associative memories. 1777-1782 - Xiaohong Bao, Yingmin Jia:
Neural networks trained for associative memory. 1783-1787 - Herna L. Viktor, Andries P. Engelbrecht, Ian Cloete:
Reduction of symbolic rules from artificial neural networks using sensitivity analysis. 1788-1793 - Ah-Hwee Tan:
Integrating rules and neural computation. 1794-1799 - Peter A. Egri, Peter F. Underwood:
HILDA: knowledge extraction from neural networks in legal rule based and case based reasoning. 1800-1805 - Shlomo Geva:
Production rule extraction. 1806-1811 - Edwin Che Yiu Choi, Tamás Domonkos Gedeon:
Comparison of extracted rules from multiple networks. 1812-1815 - Akbar Farhoodi Nejad, Tamás D. Gedeon:
Significance measures and data dependency in classification methods. 1816-1822 - Tong-Seng Quah, Hoon Heng Teh, Chew Lim Tan:
Emulating human decision making process using hybrid system. 1823-1827 - Alfred Ultsch, Dieter Korus:
Integration of neural networks with knowledge-based systems. 1828-1833 - Minoru Fukumi, Sigeru Omatu, Yoshikazu Nishikawa:
Designing a neural network by a genetic algorithm with partial fitness. 1834-1838 - Kwang-Bo Cho, Bo-Hyeun Wang:
Hierarchical intelligent prediction system using RBF based AFS. 1839-1844 - Jay K. Backory, Harry C. S. Rughooputh:
A robust growing-pruning algorithm using fuzzy logic. 1845-1850 - Susu Yao, Chengjian Wei, Zhenya He:
Evolving wavelet neural networks. 1851-1854 - Brenton S. Cooper:
Higher order neural networks for combinatorial optimisation improving the scaling properties of the Hopfield network. 1855-1860 - Dijin Gong, Mitsuo Gen, Genji Yamazaki, Weixuan Xu:
Neural network approach for general assignment problem. 1861-1866 - Chotipat Pornavalai, Goutam Chakraborty, Norio Shiratori:
Neural networks for solving constrained Steiner tree problem. 1867-1870 - Y. Tachibana, G. H. Lee, Hidetomo Ichihashi, Tetsuya Miyoshi:
A simple steepest descent method for minimizing Hopfield energy to obtain optimal solution of the TSP with reasonable certainty. 1871-1875 - Kate Smith:
Solving the generalised quadratic assignment problem using a self-organising process. 1876-1879 - Sukhan Lee, Darren Huang:
Dual-mode dynamics neural network (D2NN) for the traveling salesman problem. 1880-1885 - Kurt Benke, N. Nandagopal:
Estimation of texture element size and regularity in feature space. 1886-1891 - Jitdhikorn Sundarasaradula, Jim Millar:
Using neural networks for undithering. 1892-1897 - K. W. Chan, K. L. Chan:
Multi-reference neighborhood search for vector quantization by neural network prediction and self-organized feature map. 1898-1902 - Mitsuji Muneyasu, Takahiro Maeda, Tomonori Yako, Takao Hinamoto:
A realization of edge-preserving smoothing filters using layered neural networks. 1903-1906 - Ewa Kwiatkowska, Imad S. Torsun:
Hybrid neural network system for cloud classification from satellite images. 1907-1912 - Mehmet Ertugrul Çelebi, Cüneyt Güzelis:
Lyapunov function based design of dynamical neural networks for restoration of blurred and noisy images. 1913-1918 - S. K. Singh, R. W. Newcomb, Pedro Gómez, V. Rodellar:
A means of VLSI current controlled weight setting in ANNs. 1919-1922 - Boris Igelnik, Yoh-Han Pao:
Estimation of size of hidden layer on basis of bound of generalization error. 1923-1927 - E. Vonk, Lakhmi C. Jain, R. P. Johnson:
Using genetic algorithms with grammar encoding to generate neural networks. 1928-1931 - Jayanta Basak, Sankar K. Pal:
A model for mixed category perception based on absolute feature values. 1932-1937 - David B. Fogel, Lawrence J. Fogel:
Evolution and computational intelligence. 1938-1941 - James Kennedy, Russell Eberhart:
Particle swarm optimization. 1942-1948 - Motonobu Hattori, Masafumi Hagiwara:
Quick learning for multidirectional associative memories. 1949-1954 - Seiji Miyoshi, Kenji Nakayama:
A recurrent neural network with serial delay elements for memorizing limit cycles. 1955-1960 - Hui Wang, David A. Bell, John Hughs, Piyush Ojha:
Neural network approach to relevance. 1961-1965 - Henry Tirri, Seppo Mallenius:
Optimizing the hard address distribution for sparse distributed memories. 1966-1970 - Gopalasamy Athithan:
Associative storage of complex sequences in recurrent neural networks. 1971-1976 - Qingshan Zhou, Guoxiang Zhou, Jiandong Hu:
A quick learning rule to expand stable attraction basins in autoassociative neural networks. 1977-1980 - Dong B. Hoang, Mark James:
Stability of a basic biological neural circuit. 1981-1985 - Katsunari Shibata, Yoichi Okabe:
Some learning models of visual system based on local sensory signals integration learning. 1986-1990 - Nobuyuki Matsui, Takayuki Mori:
The efficiency of the chaotic visual behaviour in modeling the human perceptual-alternation by artificial neural network. 1991-1994 - Christof Born:
Areas vs. layers: biological aspects of neural network design. 1995-1998 - Claudio M. Privitera, Réjean Plamondon:
A self-organizing neural network for learning and generating sequences of target-directed movements in the context of a delta-lognormal synergy. 1999-2004 - R. N. Miftakhov, A. Mougalli:
Propagation of the nerve-impulse within a neuronal chain. 2005-2007 - T. C. B. Yu, Robert J. Mears, A. B. Davey, William A. Crossland, M. W. G. Snook, Neil Collings, M. Birch:
Analogue optoelectronic implementation of a neural network with in-situ learning. 2008-2013 - Gerald Frank, Georg Hartmann:
An artificial neural network accelerator for pulse coded model-neurons. 2014-2018 - Jarkko Vuori, Teuvo Kohonen:
Fast DSP implementation of high-dimensional vector classifier. 2019-2022 - Barbaros Sekerkiran, Ugur Çilingiroglu:
A high resolution CMOS winner-take-all circuit. 2023-2026 - Jhing-Fa Wang, An-Nan Suen, Jia-Ru Lee, Chung-Hsien Wu:
A Bayesian neural network chip design for speech recognition system. 2027-2030 - Chua-Chin Wang, Chih-Lwan Fan:
Digital design of discrete exponential bidirectional associative memory. 2031-2036 - Li-Minn Ang, Hon Nin Cheung:
Counterpropagation network and time-frequency shift-tolerant preprocessing for phoneme recognition. 2037-2040 - Gee-Swee Poo:
Connectionist architecture for all Mandarin syllables recognition. 2041-2045 - C. Simon Blackburn, Steve J. Young:
Learning new articulator trajectories for a speech production model using artificial neural networks. 2046-2051 - Jialong He, Li Liu, Günther Palm:
Speaker identification using hybrid LVQ-SLP networks. 2052-2055 - Faramarz Valafar, Homayoun Valafar, Okan K. Ersoy, Richard G. Schwartz:
Comparative studies of two neural network architectures for modeling of human speech production. 2056-2061 - Ke Chen, Dahong Xie, Huisheng Chi:
Speaker identification based on the time-delay hierarchical mixture of experts. 2062-2066 - Stuart W. Perry, Ling Guan:
Restoration of images degraded by space-variant distortion using a neural network. 2067-2070 - Lachlan L. H. Andrew, Marimuthu Palaniswami:
A new adaptive image sequence coding scheme using Kohonen's SOFM. 2071-2076 - P. Raveendran, Sigeru Omatu:
A new technique to derive features for shift and unequally scaled images. 2077-2080 - Jari Kangas:
Utilizing the similarity preserving properties of self-organizing maps in vector quantization of images. 2081-2084 - Niels J. S. Mørch, Ulrik Kjems, Lars Kai Hansen, Claus Svarer, Ian Law, Benny Lautrup, Stephen C. Strother, Kelly Rehm:
Visualization of neural networks using saliency maps. 2085-2090 - Si Wei Lu, Dan Ghica:
Enhanced Hopfield network for morphologic image processing. 2091-2094 - Olivier Y. de Vel, Sujint Wangsuya, Danny Coomans:
On Thai character recognition. 2095-2098 - Bongkyu Lee, Yookun Cho, Seongwon Cho:
New invariant pattern recognition system based on preprocessing and reduced second-order neural network. 2099-2102 - Yoshihiro Mitani, Yoshihiko Hamamoto, Shingo Tomita:
Use of bootstrap samples in designing artificial neural network classifiers. 2103-2106 - S. Anna Durai, P. V. Siva Prasad, A. Balasubramaniam, V. Ganapathy:
A learning strategy for multilayer neural network using discretized Sigmoidal function. 2107-2110 - Brijesh K. Verma:
Handwritten Hindi character recognition using multilayer perceptron and radial basis function neural networks. 2111-2115 - P. G. T. Dias, Ashraf A. Kassim, V. Srinivasan:
A neural network based corner detection method. 2116-2120 - Yen-Tseng Hsu, Chien-Ming Chen, Hsin-Chin Yeh:
A high noise recognition system with self-organizing features. 2121-2125 - Shunji Uchimura, Yoshihiko Hamamoto, Shingo Tomita:
Effects of the sample size in artificial neural network classifier design. 2126-2129 - Ruck Thawonmas, Shigeo Abe:
Feature reduction based on analysis of fuzzy regions. 2130-2133 - Yonggwan Won, Paul D. Gader:
Morphological shared-weight neural network for pattern classification and automatic target detection. 2134-2138 - Ponnuthurai N. Suganthan, Eam Khwang Teoh, Dinesh P. Mital:
Fuzzy connectives based optimal mapping of homomorphic ARG matching onto self-organising Hopfield network. 2139-2144 - Sam Waugh:
Generating data sets for benchmarking. 2145-2148 - Hsin-Chia Fu, Kuo-Ping Chiang:
Recognition of handwritten Chinese characters by multi-stage neural network classifiers. 2149-2153 - S. P. Raman, Uday B. Desai:
2-D object recognition using Fourier Mellin transform and a MLP network. 2154-2156 - Humberto Sossa, Patricia Rayón Villela, J. Figueroa-Nazuno:
Recognizing polyhedral objects using neural networks. 2157-2161 - Pierre Loonis, El-Hadi Zahzah, Jean-Pierre Bonnefoy:
Multi-classifiers neural network fusion versus Dempster-Shafer's orthogonal rule. 2162-2165 - Nirmalya Chowdhury, C. A. Murthy, Sankar K. Pal:
Cluster detection using neural networks. 2166-2170 - Guoxin Xing:
Prime feature extraction in pyramid network. 2171-2174 - Yvon Autret, André Thépaut:
Two simple cooperating neural systems for efficient handwritten digit recognition. 2175-2178 - Nabeel A. Murshed, Flávio Bortolozzi, Robert Sabourin:
Off-line signature verification using fuzzy ARTMAP neural network. 2179-2184
Volume 5
- Morteza Saheb Zamani, Graham R. Hellestrand:
Placement with self-organising neural networks. 2185-2189 - Jesse C. Ma, Jeffrey J. Rodríguez:
MR image segmentation using a fuzzy-based neural network. 2190-2195 - Kusnadi, Jo Dale Carothers:
Hopfield neural network and genetic algorithm, a comparison in the case of hierarchical graph visualization. 2196-2201 - Takayuki Saito, Yoshiyasu Takefuji:
Neural computing approach to Japanese electoral system. 2202-2207 - Kimiya Fujisawa, Yoshiyasu Takefuji:
A balloon net discovering improved solutions in one of unsolved problems in geometry: a problem of spreading points in a unit square. 2208-2210 - Mahesh Godavarti, Jeffrey J. Rodríguez, Timothy A. Yopp, Georgina M. Lambert, David W. Galbraith:
Neural network analysis of digital flow cytometric data. 2211-2216 - Philip Dunstan, Gek Lim, Michael Alder:
Real-time head detection. 2217-2221 - Toshio Ohhira, Narade Pecharanin, Akira Taguchi, Nobukazu Iijima, Yoshinao Akima, Mototaka Sone:
Chinese character recognition by the auto recognition system. 2222-2225 - Alexandra Psarrou, Shaogang Gong, Hilary Buxton:
Modelling spatio-temporal trajectories and face signatures on partially recurrent neural networks. 2226-2231 - J. A. G. Nijhuis, M. ter Brugge, K. A. Helmholt, Josien P. W. Pluim, Lambert Spaanenburg, Rienk S. Venema, Michel A. Westenberg:
Car license plate recognition with neural networks and fuzzy logic. 2232-2236 - Simon M. Lucas:
Rapid best-first retrieval from massive dictionaries by lazy evaluation of a syntactic neural network. 2237-2242 - Adam Krzyzak, Stan Klasa, Lei Xu:
On L1 convergence rate of RBF networks and kernel regression estimators with applications in classification. 2243-2246 - Qi Chen, Shaohua Tan, Yingduo Han, Zonghong Wang:
Fast valving control using radial-basis function neural network. 2247-2251 - Eiji Mizutani, Jyh-Shing Roger Jang, Kenichi Nishio, Hideyuki Takagi, David M. Auslander:
Coactive neuro-fuzzy modelling for colour recipe prediction. 2252-2257 - H. Tabuchi, T. Miyoshi, H. Ichibashi, Ken Ohno:
Computerized tomography with radial basis functions network: a neuro-fuzzy approach. 2258-2263 - Thomas Feuring, Wolfram-Manfred Lippe:
A goodness-function for trained fuzzy neural networks. 2264-2269 - James M. Keller, Hong Yang:
Fuzzy aggregation networks of hybrid neurons with generalized Yager operators. 2270-2274 - Wei Li, Qunhua Tan:
A method for design of a hybrid neuro-fuzzy control system based on behaviour classification. 2275-2280 - Zheng-Ming Xu, John S. Packer, John F. Cade:
A hybrid fuzzy-neural control system for management of mean arterial pressure of seriously ill patients. 2281-2286 - A. I. Rasiah, Roberto Togneri, Yianni Attikiouzel:
QRS detection using morphological and rhythm information. 2287-2292 - K. S. M. Fung, Francis K. Lam, Francis H. Y. Chan, Paul W. F. Poon, J. G. Lin:
Adaptive neural network filter for visual evoked potential estimation. 2293-2296 - Shuichi Ojima, Sumio Yano:
Eye movement model with neural oscillators. 2297-2302 - Christodoulos I. Christodoulou, Constantinos S. Pattichis:
A new technique for the classification and decomposition of EMG signals. 2303-2308 - Fuchuan Sun, Lingyu Chen:
Identification of fixations in reading eye movements by a multi-layer neural network. 2309-2313 - Ang Heng Kah, Quek Yeong San, Sim Chee Guan, Wan Chun Kiat, Yong Chaw Koh:
Smart air-conditioning system using multilayer perceptron neural network with a modular approach. 2314-2319 - Shiu Kit Tso, N. L. Lin:
Adaptive neural network controller for robot manipulator systems. 2320-2325 - Hideki Kidohshi, Kazuo Yoshida, Masaru Kamiya:
Intelligent control method using cubic neural network with multi-levels of information abstraction. 2326-2331 - Wilfried Hofmann, Qinglong Liang:
Parameter adaption for field-oriented AC-drives using neural network. 2332-2337 - Jin Young Choi, Hyun Joo Park:
Adaptive learning control of affine nonlinear systems using piecewise linearly trained networks. 2338-2341 - Ruo-Li Yang, Cang-Pu Wu:
Neural networks for optimal control of nonlinear systems with bound constraints. 2342-2347 - Neil L. Harper, Phillip J. McKerrow:
Classification of plant species from CTFM ultrasonic range data using a neural network. 2348-2352 - Q. Li, Aun Neow Poo, C. M. Lim, Marcelo H. Ang Jr.:
Neuro-based adaptive internal model control for robot manipulators. 2353-2357 - Barbara Janusz, Martin A. Riedmiller:
Self-learning neural control of a mobile robot. 2358-2363 - Daniel Kuhn, Jean-Luc Buessler, Jean-Philippe Urban:
Neural approach to visual servoing for robotic hand eye coordination. 2364-2369 - Amar Ramdane-Cherif, Véronique Perdereau, Jérôme Morin-Drouin:
Inverse kinematic at acceleration level using neural network. 2370-2374 - Joel Hoff, George A. Bekey:
An architecture for behaviour coordination learning. 2375-2380 - Radoslaw R. Zakrzewski, Ronald R. Mohler:
Discrete-time optimal control using continuous neural networks. 2381-2385 - John Nelson, L. Gordon Kraft:
Using CMAC neural networks and optimal control. 2386-2390 - Gang Feng, Marimuthu Palaniswami, Zhixiu Han, Chu Kwong Chak:
Tracking improvement for stable robot control using neural networks. 2391-2396 - Yuhong Jiang, C. McCorkell, R. B. Zmood:
Application of neural networks for real time control of a ball-beam system. 2397-2402 - Zhihong Man, X. H. Yu, Kamran Eshraghian, Marimuthu Palaniswami:
A robust adaptive sliding mode tracking control using an RBF neural network for robotic manipulators. 2403-2408 - Sanjay K. Mazumdar, Cheng-Chew Lim:
The application of neural networks to anti-skid brake system design. 2409-2414 - Jihan Zhu, Robert E. Bogner, Abdesselam Bouzerdoum, Kenneth J. Pope, Michael L. Southcott:
A comparison of neural networks and statistical methods for track association in over the horizon radar. 2415-2420 - R. Sadananda, G. R. M. Sudhakara Rao:
ART1 : model algorithm characterization and alternative similarity metric for the novelty detector. 2421-2425 - Shotaro Akaho:
The EM algorithm for multiple object recognition. 2426-2431 - Julio Tanomaru, A. Inubushi:
A simple coding scheme for neural recognition of binary visual patterns. 2432-2437 - Sabine Kröner:
Adaptive averaging in higher order neural networks for invariant pattern recognition. 2438-2443 - Andrea Baraldi, Flavio Parmiggiani:
A self-organizing neural network merging Kohonen's and ART models. 2444-2449 - Yuri Owechko, Bernard H. Soffer:
An optical neural network based on distributed holographic gratings for ATR. 2450-2455 - Mandyam V. Srinivasan:
Strategies for visual navigation, target detection and camouflage: inspirations from insect vision. 2456-2460 - Peter Lozo:
Selective attention adaptive resonance theory (SAART) neural network for neuro-engineering of robust ATR systems. 2461-2466 - Yan Zhu, Hong Yan:
Computerized tumour boundary detection using a Hopfield neural network. 2467-2472 - A. J. Lennon, Philip W. Kuchel:
Analysis of pulsed gradient nuclear magnetic resonance experiments using feedforward neural networks. 2473-2478 - Osamu Fukuda, Toshio Tsuji, Makoto Kaneko:
Pattern classification of EEG signals using a log-linearized Gaussian mixture neural network. 2479-2484 - Xinsheng Yu, Don Dent, Colin Osborn:
The selection of weights precision for ballistocardiography classification. 2485-2489 - Ian Middleton, Robert I. Damper:
Segmentation of magnetic resonance images of the thorax by backpropagation. 2490-2494 - Dunja Steuer, Bärbel Schack, Gert Grieszbach, Werner Krause:
Classification of human cognitive processes by the use of an improved neural backpropagation network. 2495-2500 - Tetsuji Tani, Tomonari Sasada, Makoto Utashiro, Motohide Umano, Kazuo Tanaka:
Neuro-fuzzy hybrid control system of nonlinear process in petroleum plant. 2501-2506 - Ammar Al Khani:
Adaptive learning control system based on the designed multilevel stochastic supervisor of an artificial neural network. 2507-2512 - Aleksander Malinowski, Jacek M. Zurada, John H. Lilly:
Inverse control of nonlinear systems using neural network observer and inverse mapping approach. 2513-2518 - Seong-Wook Park, Bo-Hyeok Seo:
Design of controller for nonlinear system using dynamic neural unit model. 2519-2524 - Seong-Wook Park, Bo-Hyeok Seo:
Design of controller for nonlinear system using chaotic neural networks. 2525-2529 - Jung Hua Wang, Hsi Shu Wu, Ru Feng Hsieh:
Harmonic control of a planar complex using limited-path-guidance learning. 2530-2535 - Steven Charlton, Pavan Sikka, Hong Zhang:
Extracting contact parameters from tactile data using artificial neural networks. 2536-2540 - Manabu Kotani, Shunji Oda, Takashi Miyatake, Tsutomu Umeki, Haruya Matsumoto:
A neural network model for trajectory formation of a redundant manipulator. 2541-2545 - Zhi-Wei Luo, Koji Ito, Masaki Yamakita:
Estimation of environment models using vector field and its application to robot's contact tasks. 2546-2549 - L. J. Marcham, B. K. N. Rao, Siamak Noroozi, R. P. Penson:
Real-time control of industrial manipulator vibration using artificial neural networks. 2550-2554 - Medhat A. Moussa, Mohamed S. Kamel:
A connectionist model of human grasps and its application to robot grasping. 2555-2559 - Kubilay K. Aydin:
Path planning and redundancy resolution for planar redundant manipulators, using artificial neural networks. 2560-2565 - Toshinori Deguchi, Naohiro Ishii:
Control of memory search by matching features with presynaptic inhibition. 2566-2571 - Tetsuya Kojima, Hidetoshi Nonaka, Tsutomu Da-te:
Capacity of the associative memory using the Boltzmann machine learning. 2572-2577 - Chong Ho Lee:
Preventing local minima by decorrelation. 2578-2582 - Anthony N. Burkitt:
Study of analogue neural networks that obey Dale's law using mean-field theory. 2583-2586 - Mahyar Zardoshti-Kermani, Alireza Afshordi:
Classification of chromosomes using higher-order neural networks. 2587-2591 - Jörg Peter, Thomas Müller, Richard Freyer:
Optimized constraint satisfaction neural network for medical image segmentation. 2592-2595 - Richard C. Watt, Chris Sisemore, Ansel Kanemoto, Kenneth Mylrea:
Artificial neural networks facilitate bispectral analysis of electroencephalographic data. 2596-2599 - Wanqing Li, Yianni Attikouzel:
Unsupervised segmentation of multi-echo MR images with an ART-based neural network. 2600-2604 - Bao R. Chang:
A neural net architecture for various learning processes on AC skin analysis. 2605-2609 - Ray-I Chang, Pei-Yung Hsiao:
Unsupervised query-based learning algorithm and its application to Kohonen's self-organizing maps. 2610-2614 - Masumi Ishikawa, Kengo Matsuo:
An integrated model of visual recognition with contextual dependency. 2615-2619 - Keiko Ishihara, Shigekazu Ishihara, Mitsuo Nagamachi:
Object recognition system with perceiving subjective contours. 2620-2625 - Hiroshi Ninomiya, Kazumichi Sato, Takeshi Nakayama, Hideki Asai:
Neural network approach to traveling salesman problem based on hierarchical city adjacency. 2626-2631 - Clifford Sze-Tsan Choy, Wan-Chi Siu:
New approach for solving the travelling salesman problem using self-organizing learning. 2632-2635 - Katsuhiko Murakami, Tohru Nakagawa, Hajime Kitagawa:
Solving the bipartite subgraph problems using strictly digital neural networks with virtual slack-neurons. 2636-2641 - Yoshihiro Tomikawa, Kenji Nakayama:
Convergence analysis of recurrent neural network with self-loops based on eigenvalues of a connection matrix. 2642-2647 - Nobuyuki Matsui, Kouichi Nakabayashi:
Minimum searching by extended Hopfield model. 2648-2651 - Michael W. Dixon, Graeme R. Cole, Matthew I. Bellgard:
Using the Hopfield neural network with mean field annealing to solve the shortest path problem in a communication network. 2652-2657 - Jens Starke, Naoyuki Kubota, Toshio Fukuda:
Combinatorial optimization with higher order neural networks-cost oriented competing processes in flexible manufacturing systems. 2658-2663 - Tomas Hrycej:
Identifying chaotic attractors with neural networks. 2664-2668 - Ibrahim I. Ibrahim, M. I. El-Adawy:
Determination of the LPC coefficients using neural networks. 2669-2673 - C. Lewis:
Signal melding-the construction of training vectors for classifying data series. 2674-2678 - Katsuhiro Ichiyanagi, Yasuyuki Goto, K. Mizuno, Y. Yokomizu, T. Matsumura:
An artificial neural network to predict river flow rate into a dam for a hydro-power plant. 2679-2682 - Bo-Hyeun Wang, Kwang-Bo Cho:
Radial basis function network with short term memory for temporal sequence processing. 2683-2688 - Paulo Cortez, Miguel Rocha, José Machado, José Neves:
A neural network based time series forecasting system. 2689-2693 - J. K. Mandal, A. K. Sinha, G. Parthasarathy:
Application of recurrent neural network for short term load forecasting in electric power system. 2694-2698 - Hidetaka Ito, Tatsumi Furuya, Tetsuo Hagiwara:
Intelligent mobile robot. 2699-2702 - Doo-Hyun Choi, Se-Young Oh, Kwang-Ick Kim:
Enhancing reliability of a vehicle steering algorithm by combining computer vision and neural vision. 2703-2708 - Hiroshi Yokoi, Juli Yamashita, Yukio Fukui, Makoto Shimojo:
Development of 3D-input device using adaptive control. 2709-2714 - Gu Fang, M. W. M. G. Dissanayake:
Neural networks for modelling robot forward dynamics. 2715-2719 - Ignacy Duleba, Witold Jacak, Robert Muszynski, Bruno Buchberger:
Symbolic computation-based synthesis of neural network dynamics and controller for robots. 2720-2725 - Bao-Liang Lu, Koji Ito:
Regularization of inverse kinematics for redundant manipulators using neural network inversions. 2726-2731 - Amar Ramdane-Cherif, Véronique Perdereau, Michel Drouin:
Optimization schemes for learning the forward and inverse kinematic equations with neural network. 2732-2737 - Satoshi Yamaguchi, Hidekiyo Itakura, Yoshikazu Nishikawa:
An inverse model learning algorithm using the hierarchical mixtures of experts. 2738-2742 - Fang Wang, Qi-Jun Zhang:
A sparse matrix approach to neural network training. 2743-2747 - Ian J. Taylor, Mike Greenhough:
A self adaptive object oriented implementation of an analog ARTMAP neural network. 2748-2752 - Tohru Nitta:
A quaternary version of the back-propagation algorithm. 2753-2756 - Chidchanok Lursinsap:
Parallel learning for supervised networks in one dimensional real space. 2757-2762 - Su Jeong You, Chong-Ho Choi:
LVQ with a weighted objective function. 2763-2768 - Myung-Chan Kim, Chong-Ho Choi:
Square root learning in batch mode BP for classification problems. 2769-2774 - Nobukatsu Kitajima:
A new method for initializing reference vectors in LVQ. 2775-2779 - Vladimir Pavlica, Aleksandar Erdeljan:
The GLS learning algorithm for multilayer neural network. 2780-2783 - Ujjwal Bhattacharya, Swapan K. Parui:
Self-adaptive learning rates in backpropagation algorithm improve its function approximation performance. 2784-2788 - James Tin-Yau Kwok, Dit-Yan Yeung:
Efficient cross-validation for feedforward neural networks. 2789-2794 - Yasushi Tsukuda, Hiroaki Kurokawa, Shinsaku Mori:
Investigation of generalization ability by using noise to enhance MLP performance. 2795-2798 - Shiro Ikeda, Kaoru Nakano:
Estimate the source structure through communication. 2799-2802 - Kotaro Yamada, Akira Taguchi, Nobukazu Iijima, Yoshinao Akima, Mototaka Sone:
Escape from the speed down areas on training of backpropagation algorithm by using a jumping method. 2803-2806 - Ramesh R. Sarukkai:
Solving XOR with a single layered perceptron by supervised self-organization of multiple output labels per class. 2807-2810 - Jouko Lampinen, Arto Selonen:
Multilayer perceptron training with inaccurate derivative information. 2811-2815 - Lawrence C. Agba, Jerry H. Tucker:
An enhanced backpropagation training algorithm. 2816-2820 - Zheru Chi:
MLP classifiers: overtraining and solutions. 2821-2824 - Chang Hyun Kwen, Chan Ho Park, Hyon Soo Lee:
Efficient strategies for error updating to improve performance backpropagation learning. 2825-2830 - Da Deng, Kwok Ping Chan, Y. L. Yu:
Self-organising learning of receptive fields in multi-resolution. 2831-2834 - Hongfeng Yin, Stan Klasa:
Learning rate and outlier analysis of linear learning algorithms. 2835-2840 - Matthew I. Bellgard, Chi Ping Tsang:
Using an effective Boltzmann machine to learn context dependencies of a sequence. 2841-2846 - Hongfeng Yin, Stan Klasa:
Linear neural network learning algorithm analysis. 2847-2852 - Yee-Ling Lu, Man-Wai Mak, Wan-Chi Siu:
Application of a fast real time recurrent learning algorithm to text-to-phoneme conversion. 2853-2857 - Liusheng Liu, Zhijian Li, Bingxue Shi:
Speech recognition based on fuzzy vector quantization and fuzzy logic. 2858-2862 - Neil Garner, Andy Breen, David M. Howard, Andy M. Tyrrell:
Neural network for syntactic categorisation of words. 2863-2866 - KyungMin Na, Soo-Ik Chae, SouGuil Ann:
Corrective training of hidden control neural network. 2867-2870 - Ryohei Nakano, Naonori Ueda, Kazumi Saito, Takeshi Yamada:
Parrot-like speaking using optimal vector quantization. 2871-2875 - Jung-Hua Wang, Jia-Hon Lin:
Adaptive spatiotemporal neural network for speech recognition. 2876-2881 - Hao Ruan, Ravi Sankar:
Applying neural network to robust keyword spotting in speech recognition application. 2882-2886 - Jianmin Li, Ditang Fang:
Phonetic feature extraction by time-sequence binary classifiers. 2887-2890 - Bernd Brückner, T. Wesarg, C. Blumenstein:
Improvements of the modified hypermap architecture for speech recognition. 2891-2895 - Munehiro Namba, Yoshihisa Ishida:
Pitch synchronous Fourier transform using neural networks. 2896-2899 - Toshinobu Matsuoka, Yoshihisa Ishida:
DP matching-based spoken digit recognition using LVQ. 2900-2903
Volume 6
- Peter Vamplew, Anthony Adams:
Recognition and anticipation of hand motions using a recurrent neural network. 2904-2907 - Takanori Shibata, Kazuya Ohkawa, Kazuo Tanie:
Spontaneous Coordinated Behavior of Robots through Reinforcement Learning. 2908-2911 - Sigeru Omatu:
Dynamical Systems Regulation by Neuro-Controllers. 2912-2916 - L. Lelaurin, A. Yacoubi, Vincent Devlaminck, Jean-Paul Dubus:
MOTION ESTIMATION BY USING A NEUROMIMETIC APPROACH. 2917-2921 - X. Thong Nguyen, Abdesselam Bouzerdoum, Robert E. Bogner, Alireza Moini, Kamran Eshraghian:
Feature Representation of Motion Trajectories. 2922-2927 - Martin Anthony:
Interpolation and Learning in Artificial Neural Networks. 2928-2932 - Soura Dasgupta, Yash Shrivastava, Sudhakar M. Reddy:
Correcting Unidirectional Errors with Nonpositive Hopfield Networks. 2933-2938 - Adam Kowalczyk, J. Szymariski, Robert C. Williamson:
Learning curves from a modified VC-formalism: a case study. 2939-2943 - John Shawe-Taylor:
Generalisation Analysis for Classes of Continuous Neural Networks. 2944-2948 - Eduardo D. Sontag:
Critical Points for Neural Net Least-Squares Problems. 2949-2954 - Shao C. Fang, Santosh S. Venkatesh:
Learning Finite Binary Sequences from Half-Space Data. 2955-2959 - Conrad Ferry:
An Integrated Developmental Connectionist Model of Orthography to Phonology and Orthography to Seman. 2960-2964 - Samuel W. K. Chan, James Franklin:
A Neurosymbolic Integrated Model for Semantic Ambiguation Resolution. 2965-2970 - William H. Wilson, Deborah J. Street, Graeme S. Halford:
Solving Proportional Analogy Problems using Tensor Product Networks with Random Representations. 2971-2975 - Paul T. Hadingham, Jennifer S. Lund:
A Visual Cortex Circuit Model for Orientation Specificity. 2976-2980 - Ashley M. Aitken:
Unexplored Frontiers of Computation. 2981-2986 - Ryotaro Kamimura, Taeko Kamimura, Shohachiro Nakanishi:
Discovery of Linguistic Rules by Hidden Information Maximization. 2987-2991 - Masahiro Kimura, Ryohei Nakano:
Learning Dynamical Systems from Trajectories by Continuous Time Recurrent Neural Networks. 2992-2997 - Michael Herrmann:
Self-Organizing Feature Maps with Self-Organizing Neighborhood Widths. 2998-3003 - Sin Chun Ng, S. H. Leung, Andrew Luk:
Fast and Global Convergent Weight Evolution Algorithm based on Modified Back-propagation. 3004-3008 - Bailing Zhang, Qin Zhou, Irwin King, Lei Xu:
Least Mean Square Error Reconstruction Learning in Recurrent Network. 3009-3014 - Jacques Ludik, Ian Cloete:
Capacity Bounds for Simple Recurrent Networks. 3015-3020 - Carlos Eduardo Pedreira, Eduardo Parente Ribeiro:
Neural Networks with Missing Values Attributes. 3021-3023 - Ik Soo Lim, Timothy Poston:
Controlling A Chaotic Neural Unit. 3024-3027 - Masahiro Nakagawa:
Periodic Chaos Neural Network. 3028-3033 - Takahiko Nakamura, Toshimichi Saito, Kenya Jin'no:
Hyperchaos from a hysteresis neural network. 3034-3037 - Shin Mizutani, Takuya Sano, Tadasu Uchiyama, Noboru Sonehara:
Controlling Chaos in Chaotic Neural Networks. 3038-3043 - Howard Hua Yang:
Intrinsic Oscillations of Neural Networks. 3044-3047 - Radu Dogaru, A. T. Murgan:
Chaotic Resonance Theory, a New Approach for Pattern Storage and Retrieval in Neural Networks. 3048-3052 - Yoram Baram, Ze'ew Roth:
Multi-Dimensional Density Shaping by Sigmoidal Networks. 3053-3056 - Pascale Costa-Hirschauer, Joël Grouffaud, Pascal Larzabal, Henri Clergeot:
A neural network for model order selection in signal processing. 3057-3061 - B. John Oommen, I. Kuban Altinel, Necati Aras:
Arbitrary distance function estimation using vector quantization. 3062-3067 - Jannie S. J. Van Deventer, Chris Aldrich, Derick W. Moolman:
The tracking of changes in chemical processes using computer vision and self-organizing maps. 3068-3073 - Jing Wu, Hong Yan:
Combined SOM and LVQ based classifiers for handwritten digit recognition. 3074-3077 - Joo-Hwee Lim, Hoon Heng Teh, Ho-Chung Lui, Pei-Zhuang Wang:
Fitting elastic maps to recognize handwritten digits. 3078-3082 - Lianwen Jin, Kwokping Chan, Bingzheng Xu:
Off-line Chinese handwriting recognition using multi-stage neural network architecture. 3083-3088 - Naotake Natori, Kazuo Nishimura:
A practical neural network for handwritten character recognition built by dynamics-based active learning and self-organization of feedback mechanism. 3089-3094 - Sukhan Lee, Thanarat Horprasert Chalidabhongse:
Recognition of handwritten connected numerals based on dual cooperative neural network. 3095-3100 - Keechul Jung, Sang Kyoon Kim, Hang Joon Kim:
Recognition-based segmentation of on-line cursive Korean characters. 3101-3106 - Zhi-Qiang Liu, Francis Yan:
Case-based diagnostic system using fuzzy neural network. 3107-3112 - Yoichi Hayashi, James J. Buckley:
Implementation of fuzzy max-min neural controller. 3113-3117 - Hisao Ishibuchi, Kouichi Morioka:
Classification of fuzzy input patterns by neural networks. 3118-3123 - Takumi Ichimura, Eiichiro Tazaki:
Applying adaptive structured genetic algorithm to reasoning and learning method for fuzzy rules using neural networks. 3124-3128 - Jia-Lin Chen, Jyh-Yeong Chang:
Fuzzy perceptron learning and its application to classifiers with numerical data and linguistic knowledge. 3129-3133 - Tohru Ikeguchi, Kazuyuki Aihara:
Nonlinear prediction on squid axon response. 3134-3139 - Mikio Hasegawa, Tohru Ikeguchi, Takeshi Matozaki, Kazuyuki Aihara:
Solving combinatorial optimization problems by nonlinear neural dynamics. 3140-3145 - Nobuo Kanou, Yoshihiko Horio:
Switched-current chaotic neural network with chaotic simulated annealing. 3146-3149 - Masataka Watanabe, Kazuyuki Aihara, Shunsuke Kondo:
Spatio-temporal summation and self-organization in chaotic neural networks. 3150-3153 - Yongfeng Miao, Yingbo Hua:
Generalized inverse computations using two-layer feedforward neural networks with pruning. 3154-3158 - Koichiro Yamauchi, Naohiro Ishii:
An incremental learning method with recalling interfered patterns. 3159-3164 - Makoto Kinouchi, Masafumi Hagiwara:
Learning temporal sequences by complex neurons with local feedback. 3165-3169 - André Neubauer:
Robust learning algorithms for multi-layer perceptrons with discretized synaptic weights. 3170-3174 - Pascale Costa-Hirschauer, Pascal Larzabal, Henri Clergeot:
On initialization of neural network. 3175-3179 - M. ter Brugge, J. A. G. Nijhuis, Walter J. Jansen, H. Drenth, Lambert Spaanenburg:
On the representation of data for optimal learning. 3180-3185 - Kazutaka Someya, Eiko Miyata, Yoshifumi Sekine:
A study on the bursting firing phenomena in neural network with the hardware neuron model. 3186-3191 - Kazuo Tanaka:
Stability analysis of neural networks via Lyapunov approach. 3192-3197 - Hiromi Miyajima, Shuji Yatsuki, Junya Kubota:
Dynamical properties of neural networks with product connections. 3198-3203 - Akira Hirose, Rolf Eckmiller:
Coherent optical neural networks: generalization ability in frequency domain. 3204-3209 - Anke Meyer-Bäse, Frank W. Ohl, Henning Scheich:
Quadratic-type Lyapunov functions for competitive neural networks with different time-scales. 3210-3214 - Anke Meyer-Baese, Frank W. Ohl, Henning Scheich:
Stability analysis techniques for competitive neural networks with different time-scales. 3215-3219
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