Printed dipole antenna design using artificial neural network Modeling for RFID application

被引：10

作者：

Li, Xiuping ^{[1
]}

Gao, Jianjun

Boeck, Georg

机构：

[1] Beijing Univ Posts & Telecommun, Sch Telecommun Engn, Beijing 100088, Peoples R China

[2] Southeast Univ, Dept Radio Engn, Inst RF ICs & OE ICs, Nanjing, Peoples R China

[3] Tech Univ Berlin, Dept Microwave Engn, Berlin, Germany

来源：

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING | 2006年 / 16卷 / 06期

关键词：

printed dipole antenna; artificial neural network;

D O I：

10.1002/mmce.20183

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antenna-layout dimensions are used to capture critical input/output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient computationally in antenna design optimization. (c) 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE 16: 607-611, 2006.

引用

页码：607 / 611

页数：5

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