Design of frequency selective surfaces using a novel MoM-ANN-GA technique

被引：0

作者：

Silva, Paulo H. da F. ^{[1
]}

Lacouth, Patric ^{[2
]}

Fontgalland, Glauco ^{[2
]}

Campos, Antonio L. P. S.

D'Assuncao, Adaildo G.

机构：

[1] CEFET PB GTEMA, Fed Ctr Technol Educ Paraiba, Joao Pessoa, PB, Brazil

[2] Federal Univ Campina Grande, Campinas, Brazil

来源：

2007 SBMO/IEEE MTT-S INTERNATIONAL MICROWAVE AND OPTOELECTRONICS CONFERENCE, VOLS 1 AND 2 | 2007年

关键词：

genetic algorithm; artificial neural networks; frequency selective surfaces; method of moments;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work describes a new application of Genetic Algorithm (GA) for Frequency Selective Surfaces (FSS's) design. The work's innovation was the introduction of an Artificial Neural Network (ANN) as a fitness function into GA. The ANN model was trained with accurate data pro-tided by FSS's simulations using the Method of Moments (MoM). The founded advantages in the design of FSS devices using the technique through of genetic algorithm and neural networks are discussed and the results are presented as way to validate the new proposed technique.

引用

页码：275 / +

页数：2

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