Application of the Support Vector Machine based on Genetic Algorithm Optimization on the Acoustic Emission Detection of Gear Fault

Application of the Support Vector Machine based on Genetic Algorithm Optimization on the Acoustic Emission Detection of Gear Fault

The support vector machine（SVM） can avoid the overlearning phenomenon in the case of small training samples,so that the generalization ability can be maximized. The problem that the SVM parameters cannot be selected adaptively is studied. By using the global search characteristic of the genetic algo...

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Bibliographic Details
Main Authors: Yu Yang, Bai Rui, Yang Ping
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2018-01-01
Series:Jixie chuandong
Subjects:
Acoustic emission
Support vector machine
Genetic algorithm
Optimization kernel function
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.034
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