Title
Estimating band diagrams of photonic crystals with multilayer feed-forward neural network
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 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.
Volume
Part F123-LAOP 2018
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Física atómica, molecular y química
Scopus EID
2-s2.0-85059482367
Source
Optics InfoBase Conference Papers
ISSN of the container
21622701
ISBN of the container
9781943580491
Conference
Latin America Optics and Photonics Conference, LAOP 2018
Sources of information:
Directorio de Producción Científica
Scopus