da Silva, I. N.de Souza, A. N.Bordon, M. E.2014-05-202014-05-202001-01-01Manufacturing, Modeling, Management and Control, Proceedings. Kidlington: Pergamon-Elsevier B.V., p. 315-320, 2001.0962-9505http://hdl.handle.net/11449/8879Artificial 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.315-320engoperations researchneural networkslinear programmingartificial intelligenceparameter optimizationTrabalho apresentado em eventoWOS:000177912500054Acesso aberto821277596049468655898388442982320000-0001-8510-8245