Volume 14, Number 1, February 2004
: A Self-Stabilizing Learning Rule for Minor Component Analysis.
: Multi-Layered Greedy Network-Growing Algorithm: Extension of Greedy Network-Growing Algorithm to Multi-Layered Networks.
, Eiichiro Tazaki
: Rough Sets and Genetic Algorithms in Learning Cellular Neural Networks Cloning Template for Decision Making System.
Volume 14, Number 2, April 2004
Volume 14, Number 3, June 2004
, Afzel Noore
: Software Reliability Prediction Using Recurrent Neural Network With Bayesian Regularization.
: Complexity Of Error Hypersurfaces In Multilayer Perceptrons.
Ian T. Nabney
: Efficient Training Of Rbf Networks For Classification.
: On The Limit Cycle Structure Of Threshold Boolean Networks Over Complete Graphs.
Volume 14, Number 4, August 2004
Volume 14, Number 5, October 2004
, Juha Karhunen
: Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures.
: Relative uncertainty learning theory: an essay.
, Hidemitsu Ogawa
: Time-oriented hierarchical method for computation of principal components using subspace learning algorithm.
, Afzel Noore
: A novel approach for short-term load forecasting using support vector machines.
Volume 14, Number 6, December 2004
Hamed Hamid Muhammed
: Unsupervised fuzzy clustering using weighted incremental neural networks.
Rajen B. Bhatt
, M. Gopal
: On the structure and initial parameter identification of gaussian rbf networks.