Da Silva Ferreira, AdrianoMalheiros-Silveira, Gilliard Nardel [UNESP]Hernandez-Figueroa, Hugo Enrique2018-12-112018-12-112018-09-15Journal of Lightwave Technology, v. 36, n. 18, p. 4066-4073, 2018.0733-8724http://hdl.handle.net/11449/171222In 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.4066-4073engDispersion relationextreme learning machinemultilayer perceptronphotonic band gapphotonic crystalArtigo10.1109/JLT.2018.2856364Acesso aberto2-s2.0-850499989332-s2.0-85049998933.pdf