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Neurocomputing, Volume 25
Volume 25, Number 1-3, April 1999
- Ignacio Santamaría, Marcelino Lázaro, Carlos Pantaleón, Jose A. García, Antonio Tazón, Angel Mediavilla:
A nonlinear MESFET model for intermodulation analysis using a generalized radial basis function network. 1-18 - Yoshikane Takahashi:
Solving dynamic optimization problems with adaptive networks. 19-38 - Lalit M. Patnaik, S. Udaykumar:
Mapping adaptive resonance theory onto ring and mesh architectures. 39-54 - Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran:
A neural network training algorithm utilizing multiple sets of linear equations. 55-72 - Yoram Baram:
Bayesian classification by iterated weighting. 73-79 - Vitaly Maiorov, Allan Pinkus:
Lower bounds for approximation by MLP neural networks. 81-91 - Jie Zhang:
Developing robust non-linear models through bootstrap aggregated neural networks. 93-113 - Siu-Yeung Cho, Tommy W. S. Chow:
Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods. 115-131 - Wen-Jyi Hwang, Bo-Yuan Ye, Shi-Chiang Liao:
A novel entropy-constrained competitive learning algorithm for vector quantization. 133-147 - Kie B. Eom:
Fuzzy clustering approach in unsupervised sea-ice classification. 149-166 - Gou-Jen Wang, Tsorng-Chi Chen:
A robust parameters self-tuning learning algorithm for multilayer feedforward neural network. 167-189 - Daniel W. C. Ho, James Lam, Jinhua Xu, Hei Ka Tam:
Neural computation for robust approximate pole assignment. 191-211
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