DocumentCode
2559079
Title
The recognition of train wheel tread damages based on PSO-RBFNN algorithm
Author
Zhao Yong ; Ye Hong ; Kang Zheng-sheng ; Shi Song-shan ; Zhou Lin
Author_Institution
Mech. Dept., Chang´an Univ., Xi´an, China
fYear
2012
fDate
29-31 May 2012
Firstpage
1093
Lastpage
1095
Abstract
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.
Keywords
least squares approximations; particle swarm optimisation; pattern recognition; radial basis function networks; railway engineering; wheels; BP; GA-RBFNN; PSO-RBFNN algorithm; connection weight value; least squares method; pattern recognition; train wheel tread damages; Accuracy; Feature extraction; Inspection; Pattern recognition; Signal processing algorithms; Training; Wheels; PSORBFNN; recognition; train wheel; tread damage;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location
Chongqing
ISSN
2157-9555
Print_ISBN
978-1-4577-2130-4
Type
conf
DOI
10.1109/ICNC.2012.6234662
Filename
6234662
Link To Document