Neurocomputing, Volume 35

Volume 35, Number 1-4, November 2000

• Soo-Young Lee, Jim Austin, Rhee Man Kil:
  Building information systems based on neural networks. 1-2
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• José-Luis Sancho, William E. Pierson, Batu Ulug, Aníbal R. Figueiras-Vidal, Stanley C. Ahalt:
  Class separability estimation and incremental learning using boundary methods. 3-26
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• Heba M. Lakany:
  A generic kinematic pattern for human walking. 27-54
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• Jim Austin, Ken Lees:
  A search engine based on neural correlation matrix memories. 55-72
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• So-Young Jeong, Soo-Young Lee:
  Adaptive learning algorithms to incorporate additional functional constraints into neural networks. 73-90
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• Rong-Jong Wai, Hsin-Hai Lin, Faa-Jeng Lin:
  Hybrid controller using fuzzy neural networks for identification and control of induction servo motor drive. 91-112
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• Mikko Lehtokangas:
  Modified constructive backpropagation for regression. 113-122
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• Lalit M. Patnaik, K. Rajan:
  Target detection through image processing and resilient propagation algorithms. 123-135
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• Ismail Salih, Stanley H. Smith, Derong Liu:
  Synthesis approach for bidirectional associative memories based on the perceptron training algorithm. 137-148
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• Pedro A. Castillo Valdivieso, Juan J. Merelo Guervós, Alberto Prieto, Víctor Manuel Rivas Santos, Gustavo Romero:
  G-Prop: Global optimization of multilayer perceptrons using GAs. 149-163
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• Ajantha S. Atukorale, Ponnuthurai N. Suganthan:
  Hierarchical overlapped neural gas network with application to pattern classification. 165-176
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• Georgios I. Papadimitriou, Andreas S. Pomportsis:
  On the use of stochastic estimator learning automata in time division multiple access systems: A methodology. 177-188
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• Roselito de Albuquerque Teixeira, Antônio de Pádua Braga, Ricardo H. C. Takahashi, Rodney R. Saldanha:
  Improving generalization of MLPs with multi-objective optimization. 189-194
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• Gaétan Monari, Gérard Dreyfus:
  Withdrawing an example from the training set: An analytic estimation of its effect on a non-linear parameterised model. 195-201
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• Witold Pedrycz:
  Adaptive Processing of Sequences and Data Structures, : C. Lee Giles and Marco Gori (Eds.); Springer, Berlin, 1998, pp. 434, ISBN 3-540-64341-9. 203-204
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• Jeffrey D. Johnson, Jinghong Li, Zengshi Chen:
  Reinforcement Learning: An Introduction: R.S. Sutton, A.G. Barto, MIT Press, Cambridge, MA 1998, 322 pp. ISBN 0-262-19398-1. 205-206
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