Development of neurofuzzy architecture for solving the N-Queens problem

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.creatorDa Silva, Ivan Nunes-
Autor(es): dc.creatorUlson, Jose Alfredo-
Autor(es): dc.creatorDe Souza, Andre Nunes-
Data de aceite: dc.date.accessioned2025-08-21T17:38:36Z-
Data de disponibilização: dc.date.available2025-08-21T17:38:36Z-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2022-04-28-
Data de envio: dc.date.issued2005-11-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1080/03081070500422695-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/224676-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/224676-
Descrição: dc.descriptionNeural 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 recurrent neural networks for solving the N -Queens problem. More specifically, a modified Hopfield network is developed and its internal parameters are explicitly computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points, which represent a solution of the considered problem. The network is shown to be completely stable and globally convergent to the solutions of the N -Queens problem. A fuzzy logic controller is also incorporated in the network to minimize convergence time. Simulation results are presented to validate the proposed approach.-
Descrição: dc.descriptionDepartment of Electrical Engineering State University of São Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360, Bauru, SP-
Descrição: dc.descriptionUniversity of São Paulo (USP)-
Descrição: dc.descriptionSão Paulo State University (UNESP)-
Descrição: dc.descriptionState University of Sao Paulo (UNESP)-
Descrição: dc.descriptionDepartment of Electrical Engineering State University of São Paulo-UNESP UNESP/FE/DEE, CP 473, CEP 17033-360, Bauru, SP-
Descrição: dc.descriptionSão Paulo State University (UNESP)-
Descrição: dc.descriptionState University of Sao Paulo (UNESP)-
Formato: dc.format717-734-
Idioma: dc.languageen-
Relação: dc.relationInternational Journal of General Systems-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCombinatorial optimization-
Palavras-chave: dc.subjectFuzzy inference systems-
Palavras-chave: dc.subjectHopfield network-
Palavras-chave: dc.subjectNeural network architecture-
Palavras-chave: dc.subjectRecurrent neural network-
Título: dc.titleDevelopment of neurofuzzy architecture for solving the N-Queens problem-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.