Application of Support Vector Machines to the Antenna Design

被引：34
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
收藏
页码：85 / 90
页数：6
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