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Research on amplifier performance evaluation based on feature double weighted support vector machine

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1 Author(s)
Aihua Zhang ; Coll. of Inf. Sci. & Eng., BoHai Univ., Jinzhou, China

An evaluation for amplifier performance based on feature double weighted support vector machine was proposed in this paper. The evaluation system structure was conformed, relied on the college analog electronic technology experiments, adopted the amplifier performance four indexes obtained via amplitude-frequency tester in one year to construct training set, and then to be four classifier evaluation based on FDWSVM. Experiment results show that this method can improve the parameter test precision and is suitable for the evaluation of electronic products.

Published in:

Control and Decision Conference (CCDC), 2010 Chinese

Date of Conference:

26-28 May 2010