Complete Band-Gap Prediction of 2D Photonic Crystals by Using Multilayer Perceptron

被引：0

作者：

Ferreira, Adriano da Silva ^{[1
]}

Hernandez Figueroa, Hugo E. ^{[1
]}

Malheiros Silveira, Gilliard Nardel ^{[2
]}

机构：

[1] Univ Campinas UNICAMP, Sch Elect & Comp Engn FEEC, Sao Paulo, Brazil

[2] Ctr Informat Technol Renato Archer CTI, Sao Paulo, Brazil

来源：

PROCEEDINGS OF THE 2017 IEEE XXIV INTERNATIONAL CONFERENCE ON ELECTRONICS, ELECTRICAL ENGINEERING AND COMPUTING (INTERCON) | 2017年

关键词：

Multilayer perceptron; Photonic crystal; Photonic band-gap; Prediction;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, a Multilayer Perceptron artificial neural network is modeled to estimate complete photonic band-gaps (C-PBGs) of bi-dimensional photonic crystals. Unit cells of square lattice photonic crystals, composed of two silicon round rods and embedded in air, have been designed by an artificial immune network algorithm, and their geometries have been stored in a database along with their C-PGBs. Tests using unknown unit cells assess and demonstrate the C-PBG predicting capability of the modeled Multilayer Perceptron.

引用

页数：3

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