Publicação: Design and analysis of neural networks for systems optimization
Carregando...
Data
Orientador
Coorientador
Pós-graduação
Curso de graduação
Título da Revista
ISSN da Revista
Título de Volume
Editor
Tipo
Trabalho apresentado em evento
Direito de acesso
Resumo
Artificial neural networks are dynamic systems consisting of highly interconnected and parallel nonlinear processing elements that are shown to be extremely effective in computation. This paper presents an architecture of artificial neural networks that can be used to solve several classes of optimization problems. More specifically, a modified Hopfield network is developed and its internal parameters are computed using the valid-subspace technique. Among the problems that can be treated by the proposed approach include combinatorial optimization problems and dynamic programming problems.
Descrição
Palavras-chave
Idioma
Inglês
Como citar
Proceedings of the International Joint Conference on Neural Networks, v. 1, p. 684-689.
