Design and analysis of neural networks for systems optimization

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorState Univ of Sao Paulo-
Autor(es): dc.creatorda Silva, Ivan N.-
Autor(es): dc.creatorBordon, Mario E.-
Autor(es): dc.creatorde Souza, Andre N.-
Data de aceite: dc.date.accessioned2022-08-04T22:01:05Z-
Data de disponibilização: dc.date.available2022-08-04T22:01:05Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued1999-12-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/219223-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/219223-
Descrição: dc.descriptionArtificial 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: dc.descriptionState Univ of Sao Paulo, Bauru-
Formato: dc.format684-689-
Idioma: dc.languageen-
Relação: dc.relationProceedings of the International Joint Conference on Neural Networks-
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Título: dc.titleDesign and analysis of neural networks for systems optimization-
Aparece nas coleções:Repositório Institucional - Unesp

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