Proceedings Article10.1109/MAPE.2007.4393537
A Support Vector Machine Method for Electrothermal Modeling of Power FETs
Yunchuan Guo,Yuehang Xu,Lei Wang,Ruimin Xu +3 more
- 04 Dec 2007
- pp 1387-1389
3
TL;DR: An accurate electrothermal modeling method for power FETs is presented and 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.
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Abstract: 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.
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TL;DR: In this article, on-wafer RF and IV characterizations are performed for the first time on power GaN high electron-mobility transistors (HEMTs) under pulse and continuous conditions at different temperatures.
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