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dc.contributor.authorDa Silva Ferreira, Adriano
dc.contributor.authorMalheiros-Silveira, Gilliard Nardel [UNESP]
dc.contributor.authorHernandez-Figueroa, Hugo Enrique
dc.date.accessioned2018-12-11T16:54:28Z
dc.date.available2018-12-11T16:54:28Z
dc.date.issued2018-09-15
dc.identifierhttp://dx.doi.org/10.1109/JLT.2018.2856364
dc.identifier.citationJournal of Lightwave Technology, v. 36, n. 18, p. 4066-4073, 2018.
dc.identifier.issn0733-8724
dc.identifier.urihttp://hdl.handle.net/11449/171222
dc.description.abstractIn this paper, dispersion relations (DRs) of photonic crystals (PhCs) are computed by multilayer perceptron (MLP) and extreme learning machine (ELM) artificial neural networks (ANNs). Bi- and tri-dimensional optimized structures presenting distinct DRs and photonic band gaps (PBGs) were selected for case studies. Optical properties of a set of PhCs with similar geometries and different dimensions were calculated by an electromagnetic solver in order to provide input data for ANN training and testing. We demonstrate that simple- and fast-training ANN models are capable of providing accurate DRs' curves in a very short time.en
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.format.extent4066-4073
dc.language.isoeng
dc.relation.ispartofJournal of Lightwave Technology
dc.sourceScopus
dc.subjectDispersion relation
dc.subjectextreme learning machine
dc.subjectmultilayer perceptron
dc.subjectphotonic band gap
dc.subjectphotonic crystal
dc.titleComputing Optical Properties of Photonic Crystals by Using Multilayer Perceptron and Extreme Learning Machineen
dc.typeArtigo
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionCentro de Tecnologia da Informacao Renato Archer
dc.description.affiliationSchool of Electrical and Computer Engineering University of Campinas
dc.description.affiliationSão Paulo State University (UNESP) Campus of São João da Boa
dc.description.affiliationCentro de Tecnologia da Informacao Renato Archer
dc.description.affiliationUnespSão Paulo State University (UNESP) Campus of São João da Boa
dc.identifier.doi10.1109/JLT.2018.2856364
dc.rights.accessRightsAcesso aberto
dc.description.sponsorshipIdCNPq: 300594/2017-8
dc.identifier.scopus2-s2.0-85049998933
dc.identifier.file2-s2.0-85049998933.pdf
unesp.author.orcid0000-0002-7338-0804[1]
unesp.author.orcid0000-0002-5176-3812[2]
dc.relation.ispartofsjr1,166
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