DocumentCode
2835797
Title
Research on amplifier performance evaluation based on feature double weighted support vector machine
Author
Zhang, Aihua
Author_Institution
Coll. of Inf. Sci. & Eng., BoHai Univ., Jinzhou, China
fYear
2010
fDate
26-28 May 2010
Firstpage
806
Lastpage
809
Abstract
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.
Keywords
amplifiers; statistical analysis; support vector machines; amplifier performance evaluation; amplitude-frequency tester; college analog electronic technology experiments; feature double weighted support vector machine; parameter test precision; Cutoff frequency; Educational institutions; Electronic equipment testing; Frequency conversion; Instruments; Kernel; Machine learning; Pulse amplifiers; Support vector machine classification; Support vector machines; Amplifier Performance Evaluation; Classifier; FDWSVM;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location
Xuzhou
Print_ISBN
978-1-4244-5181-4
Electronic_ISBN
978-1-4244-5182-1
Type
conf
DOI
10.1109/CCDC.2010.5498115
Filename
5498115
Link To Document