Modeling and analysis of artificial neural networks applied in operations research
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Data
2001-01-01
Autores
da Silva, I. N.
de Souza, A. N.
Bordon, M. E.
Título da Revista
ISSN da Revista
Título de Volume
Editor
Elsevier B.V.
Resumo
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements. Systems based on artificial neural networks have high computational rates due to the use of a massive number of these computational elements. Neural networks with feedback connections provide a computing model capable of solving a rich class of optimization problems. In this paper, a modified Hopfield network is developed for solving problems related to operations research. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach. Copyright (C) 2000 IFAC.
Descrição
Palavras-chave
operations research, neural networks, linear programming, artificial intelligence, parameter optimization
Como citar
Manufacturing, Modeling, Management and Control, Proceedings. Kidlington: Pergamon-Elsevier B.V., p. 315-320, 2001.