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ORCIDNeurocomputing, 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 - 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 - Heba M. Lakany
:
A generic kinematic pattern for human walking. 27-54 - Jim Austin, Ken Lees:
A search engine based on neural correlation matrix memories. 55-72 - So-Young Jeong, Soo-Young Lee:
Adaptive learning algorithms to incorporate additional functional constraints into neural networks. 73-90 - 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 - Mikko Lehtokangas:
Modified constructive backpropagation for regression. 113-122 - Lalit M. Patnaik, K. Rajan:
Target detection through image processing and resilient propagation algorithms. 123-135 - Ismail Salih, Stanley H. Smith, Derong Liu:
Synthesis approach for bidirectional associative memories based on the perceptron training algorithm. 137-148 - Pedro Ángel Castillo Valdivieso, Juan Julián Merelo Guervós, Alberto Prieto, Víctor Manuel Rivas Santos, Gustavo Romero:
G-Prop: Global optimization of multilayer perceptrons using GAs. 149-163 - Ajantha S. Atukorale, Ponnuthurai N. Suganthan:
Hierarchical overlapped neural gas network with application to pattern classification. 165-176 - Georgios I. Papadimitriou, Andreas S. Pomportsis:
On the use of stochastic estimator learning automata in time division multiple access systems: A methodology. 177-188 - 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 - 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 - 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 - 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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