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
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• Yoshikane Takahashi:
  Solving dynamic optimization problems with adaptive networks. 19-38
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• Lalit M. Patnaik, S. Udaykumar:
  Mapping adaptive resonance theory onto ring and mesh architectures. 39-54
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• Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran:
  A neural network training algorithm utilizing multiple sets of linear equations. 55-72
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• Yoram Baram:
  Bayesian classification by iterated weighting. 73-79
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• Vitaly Maiorov, Allan Pinkus:
  Lower bounds for approximation by MLP neural networks. 81-91
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• Jie Zhang:
  Developing robust non-linear models through bootstrap aggregated neural networks. 93-113
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• Siu-Yeung Cho, Tommy W. S. Chow:
  Training multilayer neural networks using fast global learning algorithm - least-squares and penalized optimization methods. 115-131
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• Wen-Jyi Hwang, Bo-Yuan Ye, Shi-Chiang Liao:
  A novel entropy-constrained competitive learning algorithm for vector quantization. 133-147
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• Kie B. Eom:
  Fuzzy clustering approach in unsupervised sea-ice classification. 149-166
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• Gou-Jen Wang, Tsorng-Chi Chen:
  A robust parameters self-tuning learning algorithm for multilayer feedforward neural network. 167-189
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• Daniel W. C. Ho, James Lam, Jinhua Xu, Hei Ka Tam:
  Neural computation for robust approximate pole assignment. 191-211
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• Angel Navia-Vázquez, Aníbal R. Figueiras-Vidal:
  Total least squares for block training of neural networks. 213-217
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