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- Modeling and analysis of artificial neural networks applied in operations research
- Universidade Estadual Paulista (UNESP)
- 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.
- Manufacturing, Modeling, Management and Control, Proceedings. Kidlington: Pergamon-Elsevier B.V., p. 315-320, 2001.
- Elsevier B.V.
- operations research
- neural networks
- linear programming
- artificial intelligence
- parameter optimization
- Acesso restrito
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