da Silva, I. N.de Arruda, LVRdo Amaral, W. C.2014-05-202014-05-201998-01-01IEEE World Congress on Computational Intelligence. New York: IEEE, p. 1629-1633, 1998.http://hdl.handle.net/11449/33563Systems based on artificial neural networks have high computational rates due to the use of a massive number of simple processing 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 constrained nonlinear optimization problems. The internal parameters of the network are obtained using the valid-subspace technique. Simulated examples are presented as an illustration of the proposed approach.1629-1633engTrabalho apresentado em evento10.1109/IJCNN.1998.686022WOS:000074493400298Acesso aberto