Title
Photonic crystals band diagrams computation by using extreme learning machine
Date Issued
01 January 2018
Access level
metadata only access
Resource Type
conference paper
Author(s)
Universidad Estatal de Campinas
Publisher(s)
Optica Publishing Group (formerly OSA)
Abstract
We 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.
Volume
Part F114-FIO 2018
Language
English
OCDE Knowledge area
Óptica
Ingeniería eléctrica, Ingeniería electrónica
Scopus EID
2-s2.0-85059422714
Source
Optics InfoBase Conference Papers
ISSN of the container
21622701
ISBN of the container
9781943580460
Conference
Volume Part F114-FIO 2018 Frontiers in Optics, FIO 2018
Sponsor(s)
This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), the Conselho Nacional de Desenvolvimento Tecnológico (CNPq) under grant #312110/2016-2, and the São Paulo Research Foundation (FAPESP) under projects no. 2010/18857-7, 2015/24517-8, and in part by the INCT FOTONICOM/CNPq/FAPESP.
Sources of information:
Directorio de Producción Científica
Scopus