Nonlinear optimization using a modified Hopfield model

dc.contributor.authorda Silva, I. N.
dc.contributor.authorde Arruda, LVR
dc.contributor.authordo Amaral, W. C.
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:22:37Z
dc.date.available2014-05-20T15:22:37Z
dc.date.issued1998-01-01
dc.description.abstractSystems 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.en
dc.description.affiliationUniv São Paulo, UNESP FET DEE, Bauru, SP, Brazil
dc.description.affiliationUnespUniv São Paulo, UNESP FET DEE, Bauru, SP, Brazil
dc.format.extent1629-1633
dc.identifierhttp://dx.doi.org/10.1109/IJCNN.1998.686022
dc.identifier.citationIEEE World Congress on Computational Intelligence. New York: IEEE, p. 1629-1633, 1998.
dc.identifier.doi10.1109/IJCNN.1998.686022
dc.identifier.urihttp://hdl.handle.net/11449/33563
dc.identifier.wosWOS:000074493400298
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofIEEE World Congress on Computational Intelligence
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleNonlinear optimization using a modified Hopfield modelen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIEEE
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Baurupt

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