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Neurocomputing, Volume 34
Volume 34, Number 1-4, September 2000
- F. Xabier Albizuri

, Ana Isabel González, Manuel Graña, Alicia D'Anjou:
Neural learning for distributions on categorical data. 1-9 - B. B. Chaudhuri, Ujjwal Bhattacharya:

Efficient training and improved performance of multilayer perceptron in pattern classification. 11-27 - Hema Chandrasekaran

, Hung-Han Chen, Michael T. Manry:
Pruning of basis functions in nonlinear approximators. 29-53 - Jiann-Ming Wu:

Potts models with two sets of interactive dynamics. 55-77 - Jingtao Yao, Chew Lim Tan:

A case study on using neural networks to perform technical forecasting of forex. 79-98 - Dianhui Wang, Paul Bao:

Enhancing the estimation of plant Jacobian for adaptive neural inverse control. 99-115 - Piero Cosi, Paolo Frasconi, Marco Gori, Luca Lastrucci, Giovanni Soda:

Competitive radial basis functions training for phone classification. 117-129 - Yacine Oussar, Gérard Dreyfus:

Initialization by selection for wavelet network training. 131-143 - Gürsel Serpen

, David L. Livingston:
Determination of weights for relaxation recurrent neural networks. 145-168 - Yi Sun:

On quantization error of self-organizing map network. 169-193 - Tommy W. S. Chow, Yong Fang:

Two-dimensional learning strategy for multilayer feedforward neural network. 195-206 - Qing Ma, Hitoshi Isahara:

Semantic networks represented by adaptive associative memories. 207-225 - Piërre van de Laar

, Tom Heskes
:
Input selection based on an ensemble. 227-238 - Simone G. O. Fiori

:
Blind separation of circularly distributed sources by neural extended APEX algorithm. 239-252 - Luciano da Fontoura Costa:

Dynamic Patterns: The Self-organization of Brain and Behavior: J.A. Scott Kelso, MIT Press, 1997, 334pp., ISBN 0-262-11200-0 (HB). 253-254 - Nick Dean:

The Mind within the Net: Manfred Spitzer: MIT Press, Cambridge, MA, 351pp., ISBN: 0-262-1904-6. 255-256 - Emre Ertin:

Mathematical Methods for Neural Network Analysis and Design: R.M. Golden, MIT Press, Cambridge, MA, 1996, 419 pp., ISBN 0-262-07174-6. 257-258

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