Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression

Abstract and Applied Analysis

Research Article

Hamid Reza Karimi¹  Aihua Zhang²  Xing Huo² 

[1] Department of Engineering, Faculty of Engineering and Science, The University of Agder, Grimstad 4898, Norway, uia.no;College of Engineering, Bohai University, Jinzhou 121013, China, bhu.edu.cn

Others  :  1320273
DOI  :  10.1155/2014/574547

 received in 2014-01-01, accepted in 2014-01-18,  发布年份 2014

【 摘 要 】

Focusing on the amplifier performance evaluation demand, a novel evaluation strategy based on δ-support vector regression (δ-SVR) is proposed in this paper. Lower computer calculation demand is considered firstly. And this is dealt with by the superiority of δ-SVR which can be significantly improved on the number of support vectors. Moreover, the function of δ-SVR employs the modified RBF kernel function which is constructed from an original kernel by removing the last coordinate and adding the linear term with the last coordinate. Experiment adopted the typical circuit Sallen-Key low pass filter to prove the proposed evaluation strategy via the eight performance indexes. Simulation results reveal that the need of the number of δ-SVR support vectors is the lowest among the other two methods LSSVR and ε-SVR under obtaining nearly the same evaluation result. And this is also suitable for promotion computational speed.

【 授权许可】

CC BY   
Copyright © 2014 Xing Huo et al. 2014

【 图 表 】

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