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ORCIDNeurocomputing, Volume 57
Volume 57, March 2004
- Thomas Villmann:
Special issue on new aspects in neurocomputing. 1-2 - Barbara Hammer
, Alessio Micheli, Alessandro Sperduti, Marc Strickert:
A general framework for unsupervised processing of structured data. 3-35 - Ying Han, Emilio Corchado, Colin Fyfe:
Forecasting using twinned principal curves and twinned self-organising maps. 37-47 - John Aldo Lee, Amaury Lendasse, Michel Verleysen:
Nonlinear projection with curvilinear distances: Isomap versus curvilinear distance analysis. 49-76 - James Henderson:
Estimating probabilities for unbounded categorization problems. 77-86 - Mikael Bodén:
Generalization by symbolic abstraction in cascaded recurrent networks. 87-104 - Gavin C. Cawley, Nicola L. C. Talbot, Robert J. Foxall, Stephen R. Dorling, Danilo P. Mandic:
Heteroscedastic kernel ridge regression. 105-124 - Laurent Perrinet, Manuel Samuelides, Simon J. Thorpe:
Sparse spike coding in an asynchronous feed-forward multi-layer neural network using matching pursuit. 125-134 - Udo Seiffert:
Artificial neural networks on massively parallel computer hardware. 135-150 - Thomas Villmann, Beate Villmann, Volker Slowik:
Evolutionary algorithms with neighborhood cooperativeness according to neural maps. 151-169 - Atsushi Imiya, Hisashi Ootani, Kazuhiko Kawamoto:
Linear manifolds analysis: theory and algorithm. 171-187 - Francesco Masulli, Giorgio Valentini:
An experimental analysis of the dependence among codeword bit errors in ECOC learning machines. 189-214 - Branko Ster:
An integrated learning approach to environment modelling in mobile robot navigation. 215-238 - Jiann-Shing Shieh, Chi-Fong Chou, Sheng-Jean Huang, Ming-Chien Kao:
Intracranial pressure model in intensive care unit using a simple recurrent neural network through time. 239-256 - Olivier Lezoray, Dominique Fournier, Hubert Cardot:
Neural network induction graph for pattern recognition. 257-274 - Antony Browne, Brian D. Hudson, David C. Whitley, Martyn G. Ford, Phil D. Picton:
Biological data mining with neural networks: implementation and application of a flexible decision tree extraction algorithm to genomic problem domains. 275-293 - Chen-Wen Yen, Chieh-Neng Young, Mark L. Nagurka:
A false acceptance error controlling method for hyperspherical classifiers. 295-312 - Enrique Romero, Lluís Màrquez, Xavier Carreras:
Margin maximization with feed-forward neural networks: a comparative study with SVM and AdaBoost. 313-344 - Roelof K. Brouwer:
Feed-forward neural network for one-to-many mappings using fuzzy sets. 345-360 - Wen-Jyi Hwang, Chien-Min Ou, Rui-Chuan Lin, Wen-Wei Hu:
Layered video transmission based on genetic programming for lossy channels. 361-372 - Tommy W. S. Chow, Sitao Wu:
Cell-splitting grid: a self-creating and self-organizing neural network. 373-387 - Xi Min Zhang, Yan Qiu Chen, Nirwan Ansari, Yun Q. Shi:
Mini-max initialization for function approximation. 389-409 - Silvio P. Sabatini, Fabio Solari, Luca Secchi:
A continuum-field model of visual cortex stimulus-driven behaviour: emergent oscillations and coherence fields. 411-433 - Anping Chen, Jinde Cao, Lihong Huang:
Exponential stability of BAM neural networks with transmission delays. 435-454 - Di Wang, Narendra S. Chaudhari:
An approach for construction of Boolean neural networks based on geometrical expansion. 455-461 - Rong Long Wang:
A genetic algorithm for subset sum problem. 463-468 - Mingjun Zhong, Huanwen Tang, Hongjun Chen, Yiyuan Tang:
An EM algorithm for learning sparse and overcomplete representations. 469-476 - XuGang Wang, Zheng Tang, Hiroki Tamura, Masahiro Ishii:
A modified error function for the backpropagation algorithm. 477-484 - Jiahai Wang, Zheng Tang, Rong Long Wang:
Maximum neural network with nonlinear self-feedback for maximum clique problem. 485-492 - Weixiang Liu, Nanning Zheng, Xi Li:
Relative gradient speeding up additive updates for nonnegative matrix factorization. 493-499 - Chandra Shekhar Rai, Yogesh Singh:
Source distribution models for blind source separation. 501-505
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