Microwave devices and antennas modelling by support vector regression machines

被引：111

作者：

Angiulli, G. ^{[1
]}

Cacciola, M. ^{[1
]}

Versaci, M. ^{[1
]}

机构：

[1] Univ Mediterranea, DIMET, I-89100 Reggio Di Calabria, Italy

来源：

IEEE TRANSACTIONS ON MAGNETICS | 2007年 / 43卷 / 04期

关键词：

computer-aided design (CAD) modelling; microstrip patch antennas; microstrip radial stubs; support vector regression machines (SVRMs);

D O I：

10.1109/TMAG.2007.892480

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：

Development of fast and accurate models of microwave devices and antennas is of paramount importance in computer-aided design and circuit analysis. At this purpose, artificial neural networks (ANNs) have been extensively exploited in technical literature. However, in the last years support vector machines (SVMs) developed by Vapnik are gaining popularity due to many attractive features capable to overcome the limitations connected to ANNs. In this work, support vector regression machines (SVRMs) modelling performances are investigated and compared with ANNs performances by means of several cases of study.

引用

页码：1589 / 1592

页数：4

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