A support vector machine method for electrothermal Modeling of power FETs

被引：0

作者：

Guo, Yunchuan ^{[1
]}

Xu, Yuehang ^{[1
]}

Wang, Lei ^{[1
]}

Xu, Ruimin ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China

来源：

IEEE 2007 INTERNATIONAL SYMPOSIUM ON MICROWAVE, ANTENNA, PROPAGATION AND EMC TECHNOLOGIES FOR WIRELESS COMMUNICATIONS, VOLS I AND II | 2007年

关键词：

electrothermal model; field effect transistor (FET); support vector machine (SVM);

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

An accurate electrothermal modeling method for power FETs is presented. The thermal models are setup by using Support Vector Machine Regression (SVR) approach, which is like artificial neural network (ANN) method leading a knowledge-based model. Unlike traditional ANNs, Support Vector Machine (SVM)method requires fewer samples in statistical learning and is free of local minima in optimization. A comparison among the SVM model, the empirical model and the measurement data of a GaAs power pHEMT are given out to validate the proposed approach.

引用

页码：1387 / 1389

页数：3

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