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Photonic crystals band diagrams computation by using extreme learning machine

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dc.contributor.authorDa Silva Ferreira, Adriano
dc.contributor.authorMalheiros-Silveira, Gilliard Nardel [UNESP]
dc.contributor.authorHernandez-Figueroa, Hugo Enrique
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T15:29:25Z
dc.date.available2019-10-06T15:29:25Z
dc.date.issued2018-01-01
dc.description.abstractWe modeled Extreme Learning Machine feed-forward artificial neural network for estimating band diagrams of tri-dimensional photonic crystals and demonstrated a simple approach for speedy computations.en
dc.description.affiliationSchool of Electrical and Computer Engineering (FEEC) University of Campinas (UNICAMP)
dc.description.affiliationSão Paulo State University (Unesp) Campus of São João da Boa Vista
dc.description.affiliationUnespSão Paulo State University (Unesp) Campus of São João da Boa Vista
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.identifierhttp://dx.doi.org/10.1364/FIO.2018.JW4A.94
dc.identifier.citationOptics InfoBase Conference Papers, v. Part F114-FIO 2018.
dc.identifier.doi10.1364/FIO.2018.JW4A.94
dc.identifier.scopus2-s2.0-85059422714
dc.identifier.urihttp://hdl.handle.net/11449/187226
dc.language.isoeng
dc.relation.ispartofOptics InfoBase Conference Papers
dc.rights.accessRightsAcesso abertopt
dc.sourceScopus
dc.titlePhotonic crystals band diagrams computation by using extreme learning machineen
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia, São João da Boa Vistapt

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São João da Boa Vista - FESJBV - Faculdade de Engenharia, São João da Boa Vista