Application of Support Vector Machines to the Antenna Design

被引：33

作者：

Zheng, Z. ^{[1
]}

Chen, X. ^{[1
]}

Huang, K. ^{[1
]}

机构：

[1] Sichuan Univ, Sch Elect & Informat Engn, Chengdu 610064, Peoples R China

来源：

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING | 2011年 / 21卷 / 01期

基金：

中国国家自然科学基金;

关键词：

support vector machines; antenna design; rectangular patch antenna; rectangular patch antenna array; ARTIFICIAL NEURAL-NETWORKS; PARAMETERS;

D O I：

10.1002/mmce.20491

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The antenna design is a complicated and time-consuming procedure. This work explores using support vector machines (SVMs), a statistical learning theory based on the structural risk minimization principle and has a great generalization capability, as a fast and accurate tool in the antenna design. As examples, SVMs is used to design a rectangular patch antenna and a rectangular patch antenna array. Results show, after an appropriate training, SVMs is able to effectively design antennas with high accuracy. (C) 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE 21:85-90, 2011.

引用

页码：85 / 90

页数：6

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