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ORCIDNeurocomputing, Volume 56
Volume 56, January 2004
- Ajith Abraham:
Meta learning evolutionary artificial neural networks. 1-38 - Enrico Capobianco:
On support vector machines and sparse approximation for random processes. 39-60 - S. Rajasekaran, R. Amal Raj:
Image recognition using analog-ART1 architecture augmented with moment-based feature extractor. 61-77 - Christian Ziegaus, Elmar Wolfgang Lang:
A neural implementation of the JADE algorithm (nJADE) using higher-order neurons. 79-100 - Ping Guo
, Michael R. Lyu:
A pseudoinverse learning algorithm for feedforward neural networks with stacked generalization applications to software reliability growth data. 101-121 - Chen-Chia Chuang, Jin-Tsong Jeng, Pao-Tsun Lin:
Annealing robust radial basis function networks for function approximation with outliers. 123-139 - Bruno Gas, Jean-Luc Zarader, Cyril Chavy, Mohamed Chetouani:
Discriminant neural predictive coding applied to phoneme recognition. 141-166 - Machiel Westerdijk, Wim Wiegerinck:
Improving classification with latent variable models by sequential constraint optimization. 167-185 - Eric de Bodt, Marie Cottrell, Patrick Letrémy, Michel Verleysen:
On the use of self-organizing maps to accelerate vector quantization. 187-203 - Suraphan Thawornwong, David Enke:
The adaptive selection of financial and economic variables for use with artificial neural networks. 205-232 - Simone G. O. Fiori, Pietro Burrascano:
One-unit 'rigid-bodies' learning rule for principal/independent component analysis with application to ECT-NDE signal processing. 233-255 - Nicolás García-Pedrajas, Domingo Ortiz-Boyer, César Hervás-Martínez:
Cooperative coevolution of generalized multi-layer perceptrons. 257-283 - Orazio Giustolisi:
Sparse solution in training artificial neural networks. 285-304 - Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi:
Combining protein secondary structure prediction models with ensemble methods of optimal complexity. 305-327 - Fred H. Hamker:
Predictions of a model of spatial attention using sum- and max-pooling functions. 329-343 - Jani J. T. Lahnajärvi, Mikko Lehtokangas, Jukka Saarinen:
Estimating movements of a robotic manipulator by hybrid constructive neural networks. 345-363 - Willy Wriggers, Pablo Chacón, Julio A. Kovacs, Florence Tama, Stefan Birmanns:
Topology representing neural networks reconcile biomolecular shape, structure, and dynamics. 365-379 - Fabian J. Theis, Elmar Wolfgang Lang, Carlos García Puntonet:
A geometric algorithm for overcomplete linear ICA. 381-398 - Kay Chen Tan, Huajin Tang, Z. Yi:
Global exponential stability of discrete-time neural networks for constrained quadratic optimization. 399-406 - Tzu-Yu Liu, Jerome Yeh, Chien-Ming Chen, Yen-Tseng Hsu:
A GreyART system for grey information processing. 407-414 - Jian Yang, Alejandro F. Frangi, Jing-Yu Yang:
A new kernel Fisher discriminant algorithm with application to face recognition. 415-421 - Hugo Uchida Frausto, Jan G. Pieters:
Modelling greenhouse temperature using system identification by means of neural networks. 423-428 - Huafu Chen, Dezhong Yao:
A composite ICA algorithm and the application in localization of brain activities. 429-434 - Christian R. Huyck:
Overlapping cell assemblies from correlators. 435-439 - Xinshun Xu, Zheng Tang, Rong Long Wang, XuGang Wang:
A new motion equation for the minimum vertex cover problem. 441-446 - Pravin Chandra, Yogesh Singh:
A case for the self-adaptation of activation functions in FFANNs. 447-454 - XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii, W. D. Sun:
An improved backpropagation algorithm to avoid the local minima problem. 455-460 - Giorgio Valentini, Marco Muselli, Francesca Ruffino:
Cancer recognition with bagged ensembles of support vector machines. 461-466 - Zhenwei Shi, Huanwen Tang, Yiyuan Tang:
A new fixed-point algorithm for independent component analysis. 467-473 - Sang-Woo Ban, Minho Lee, Hyun Seung Yang:
A face detection using biologically motivated bottom-up saliency map model and top-down perception model. 475-480 - Jinwen Ma, Taijun Wang, Lei Xu:
A gradient BYY harmony learning rule on Gaussian mixture with automated model selection. 481-487
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