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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/8903
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dc.contributor.authorde Souza, A. N.-
dc.contributor.authorda Silva, I. N.-
dc.contributor.authorUlson, Jose Alfredo Covolan-
dc.date.accessioned2014-05-20T13:27:13Z-
dc.date.available2014-05-20T13:27:13Z-
dc.date.issued2001-01-01-
dc.identifierhttp://dx.doi.org/10.1007/978-3-7091-6230-9_88-
dc.identifier.citationArtificial Neural Nets and Genetic Algorithms. Vienna: Springer-verlag Wien, p. 356-358, 2001.-
dc.identifier.urihttp://hdl.handle.net/11449/8903-
dc.description.abstractThis paper describes a novel approach for mapping lightning processes using fuzzy logic. The estimation process is carried out using a fuzzy system based on Sugeno's architecture. Simulation results confirm that proposed approach can be efficiently used in these types of problem.en
dc.format.extent356-358-
dc.language.isoeng-
dc.publisherSpringer-
dc.sourceWeb of Science-
dc.titleA fuzzy logic system applied in lightning modelsen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil-
dc.description.affiliationUnespUniv São Paulo, UNESP, Dept Elect Engn, BR-17033360 Bauru, SP, Brazil-
dc.identifier.doi10.1007/978-3-7091-6230-9_88-
dc.identifier.wosWOS:000170132600088-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofArtificial Neural Nets and Genetic Algorithms-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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