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...
Main Authors: | Yu Yang, Bai Rui, Yang Ping |
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Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Transmission
2018-01-01
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Series: | Jixie chuandong |
Subjects: | |
Online Access: | http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2018.01.034 |
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