The recognition of train wheel tread damages based on PSO-RBFNN algorithm

In order to the recognition of the train wheel tread damages, the pattern recognition method of the train wheel tread damages based on PSO-RBFNN was developed. The algorithm uses PSO-RBFNN algorithm to optimize center and spread of RBFNN, the connection weight value is sovled by least squares method...

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Bibliographic Details
Main Authors: Zhao Yong, Ye Hong, Kang Zheng-sheng, Shi Song-shan, Zhou Lin
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Feature extraction
Inspection
Pattern recognition
PSORBFNN
recognition
Signal processing algorithms
train wheel
Training
tread damage
Wheels
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Summary:In order to the recognition of the train wheel tread damages, the pattern recognition method of the train wheel tread damages based on PSO-RBFNN was developed. The algorithm uses PSO-RBFNN algorithm to optimize center and spread of RBFNN, the connection weight value is sovled by least squares method. Compared with the traditional RBFNN,BP and GA-RBFNN, the experiment results show that the recognition rate of testing samples is higher than the traditional RBFNN, BP and GA-RBFNN, the evolutional generations of PSO-RBFNN algorithm were less than RBFNN, BP and GA-RBFNN.
ISSN:2157-9555
DOI:10.1109/ICNC.2012.6234662