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ORCIDNeural Processing Letters, Volume 11
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 M. 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 G. O. 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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