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Abstract and Applied Analysis
Volume 2014, Article ID 574547, 6 pages
Research Article

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

1College of Engineering, Bohai University, Jinzhou 121013, China
2Department of Engineering, Faculty of Engineering and Science, The University of Agder, Grimstad 4898, Norway

Received 1 January 2014; Accepted 18 January 2014; Published 3 March 2014

Academic Editor: Ming Liu

Copyright © 2014 Xing Huo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Focusing on the amplifier performance evaluation demand, a novel evaluation strategy based on -support vector regression (-SVR) is proposed in this paper. Lower computer calculation demand is considered firstly. And this is dealt with by the superiority of -SVR which can be significantly improved on the number of support vectors. Moreover, the function of -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 -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.