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Reliability Assessment of Machining Accuracy on Support Vector Machine.

Authors :
Deng, Chao
Wu, Jun
Shao, Xinyu
Source :
Intelligent Robotics & Applications (9783540885160); 2008, p669-678, 10p
Publication Year :
2008

Abstract

In order to establish the reliability model of limited samples, a kind of support vector machine (SVM) tools LSSVM.M is used to process reliability assessment data. The choice of parameters is the key factor to affect the forecasting accuracy. To improve the accuracy, a method of advanced parameters choice is proposed, which consists of two steps. First step is to optimize the scope of parameters, gradually narrowing the initial large scope. The next step is to find out the optimal parameters. Finally, the reliability model of NC machining accuracy was established, and the prediction result in NC machining accuracy case proves that this method is valid and effective. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540885160
Database :
Complementary Index
Journal :
Intelligent Robotics & Applications (9783540885160)
Publication Type :
Book
Accession number :
76727167
Full Text :
https://doi.org/10.1007/978-3-540-88518-4_72