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Estimating band diagrams of photonic crystals with multilayer feed-forward neural network

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dc.contributor.authorDa Silva Ferreira, Adriano
dc.contributor.authorMalheiros-Silveira, Gilliard Nardel [UNESP]
dc.contributor.authorHernández-Figueroa, Hugo Enrique
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionHortolândia
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2019-10-06T15:29:35Z
dc.date.available2019-10-06T15:29:35Z
dc.date.issued2018-01-01
dc.description.abstractWe designed a Multilayer Perceptron (MLP) feed-forward Artificial Neural Network for estimating band diagrams of tri-dimensional photonic crystals. We show a simple and fast-training MLP model able to build accurate band diagrams through speedy computations.en
dc.description.affiliationSchool of Electrical and Computer Engineering (FEEC) University of Campinas (UNICAMP)
dc.description.affiliationSão Paulo Federal Institute of Education Science and Technology (IFSP) Hortolândia
dc.description.affiliationSão Paulo State University (UNESP)
dc.description.affiliationUnespSão Paulo State University (UNESP)
dc.identifierhttp://dx.doi.org/10.1364/LAOP.2018.W2A.3
dc.identifier.citationOptics InfoBase Conference Papers, v. Part F123-LAOP 2018.
dc.identifier.doi10.1364/LAOP.2018.W2A.3
dc.identifier.scopus2-s2.0-85059482367
dc.identifier.urihttp://hdl.handle.net/11449/187232
dc.language.isoeng
dc.relation.ispartofOptics InfoBase Conference Papers
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.titleEstimating band diagrams of photonic crystals with multilayer feed-forward neural networken
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication

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