Neural Processing Letters, Volume 11
Volume 11, Number 1, February 2000
- 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 F. 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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