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- W2361008295 abstract "Support Vector Machine(SVMs) is a novel machine learning method based on statistical learning theory(SLT).SVM is powerful for the problem with small sample,nonlinear and high dimension.A multilayer SVM classifier is applied here to fault diagnosis of ball bearing.This method gets the preference from time zone.It is simple for calculating.Furthermore,you need not care for the class and speed of the ball bearing.It has been tested that it can have good classification ability." @default.
- W2361008295 created "2016-06-24" @default.
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- W2361008295 date "2007-01-01" @default.
- W2361008295 modified "2023-09-28" @default.
- W2361008295 title "Fault Diagnosis of Ball Bearing Based on SVM Classifier" @default.
- W2361008295 hasPublicationYear "2007" @default.
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