Volume 11,
Number 1,
February 2000
- Danilo P. Mandic, Jonathon A. Chambers:
Towards the Optimal Learning Rate for Backpropagation.
1-5
- Vincent Lemaire, Olivier Bernier, Daniel Collobert, Fabrice Clérot:
A New Method to Increase the Margin of Multilayer Perceptrons.
7-15
- Michael W. Spratling, Gillian Hayes:
Learning Synaptic Clusters for Nonlinear Dendritic Processing.
17-27
- Adrian K. Agogino, Kenneth O. Stanley, Risto Miikkulainen:
Online Interactive Neuro-evolution.
29-38
- Enrique Castillo, José Manuel Gutiérrez, Angel Cobo, Carmen Castillo:
A Minimax Method for Learning Functional Networks.
39-49
- Davide Anguita, Andrea Boni, Sandro Ridella:
Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap.
51-58
- Marcos M. Campos, Gail A. Carpenter:
Building Adaptive Basis Functions with a Continuous Self-Organizing Map.
59-78
Volume 11,
Number 2,
April 2000
- Miguel A. Atencia Ruiz, Gonzalo Joya Caparrós, Francisco Sandoval Hernández:
A Formal Model for Definition and Simulation of Generic Neural Networks.
87-105
- Arnold Shu-Yan Wong, Kwok-Wo Wong, Chi-Sing Wong:
A Practical Sequential Method for Principal Component Analysis.
107-112
- Jacob Barhen, R. Cogswell, Vladimir A. Protopopescu:
Single-Iteration Training Algorithm for Multi-Layer Feed-Forward Neural Networks.
113-129
- Katerina Hlavácková-Schindler, Manfred M. Fischer:
An Incremental Algorithm for Parallel Training of the Size and the Weights in a Feedforward Neural Network.
131-138
- Jung-Hua Wang, Chung-Yun Peng:
A Novel Self-Creating Neural Network for Learning Vector Quantization.
139-151
- Chun-Liang Lin, Teng-Hsien Huang:
A Novel Approach Solving for Linear Matrix Inequalities Using Neural Networks.
153-169
- M. Jedra, A. El Ouardighi, Abderrahmane Essaid, Mohamed Limouri:
Erratum: A Bi-Directional Multilayer Perceptron.
171
Volume 11,
Number 3,
June 2000
- Sergio Bermejo, Joan Cabestany:
A Batch Learning Vector Quantization Algorithm for Nearest Neighbour Classification.
173-184
- Andreu Català, Cecilio Angulo:
A Comparison between the Tikhonov and the Bayesian Approaches to Calculate Regularisation Matrices.
185-195
- Eduardo Ros Vidal, Francisco J. Pelayo, P. Martin-Smith, Ignacio Rojas, D. Palomar, Alberto Prieto:
Competitive and Temporal Inhibition Structures with Spiking Neurons.
197-208
- Simone Fiori:
An Experimental Comparison of Three PCA Neural Networks.
209-218
- Primoz Potocnik, Igor Grabec, Marko Setinc, Janez Levec:
Neural Net Based Hybrid Modeling of the Methanol Synthesis Process.
219-228
- Steven Walczak, John E. Scharf:
Transfusion Cost Containment for Abdominal Surgery with Neural Networks.
229-238
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