KNOWLEDGE-BASED SUPPORT VECTOR SYNTHESIS OF THE MICROSTRIP LINES

被引：21

作者：

Tokan, N. T. ^{[1
]}

Gunes, F. ^{[1
]}

机构：

[1] Yildiz Tech Univ, Fac Elect & Elect, Dept Elect & Commun Engn, TR-34349 Istanbul, Turkey

来源：

PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER | 2009年 / 92卷

关键词：

NEURAL-NETWORKS; MICROWAVE; DESIGN; OPTIMIZATION; MODELS;

D O I：

10.2528/PIER09022704

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：

In this paper, we proposed an efficient knowledge-based Support Vector Regression Machine (SVRM) method and applied it to the synthesis of the transmission lines for the microwave integrated circuits, with the highest possible accuracy using the fewest accurate data. The technique has integrated advanced concepts of SVM and knowledge-based modeling into a powerful and systematic framework. Thus, synthesis model as fast as the coarse models and at the same time as accurate as the. ne models is obtained for the RF/Microwave planar transmission lines. The proposed knowledge-based support vector method is demonstrated by a typical worked example of microstrip line. Success of the method and performance of the resulted synthesis model is presented and compared with ANN results.

引用

页码：65 / 77

页数：13

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