Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/80899
Type: Artigo de periódico
Title: Prediction of Dispersion Relation and PBGs in 2-D PCs by Using Artificial Neural Networks
Author: Malheiros-Silveira, GN
Hernandez-Figueroa, HE
Abstract: The prediction of dispersion relation and photonic band gaps in 2-D photonic crystals using artificial neural networks is demonstrated in this letter. Two case studies are carried out in order to evaluate the advantages of using this approach in conjunction with numerical methods. The results obtained present values that are very close to those obtained by a numerical solver and with short time-processing. We also compare artificial neural networks' outputs and well-known interpolation techniques.
Subject: Artificial neural networks
integrated optics
multilayer perceptron
photonic crystals
plane wave method
Country: EUA
Editor: Ieee-inst Electrical Electronics Engineers Inc
Rights: fechado
Identifier DOI: 10.1109/LPT.2012.2215846
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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