基于PSO-RBFNN算法的列车车轮踏面损伤识别

International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications Pub Date : 2012-05-29 DOI:10.1109/ICNC.2012.6234662

Yong Zhao, Hong Ye, Zheng-sheng Kang, Song-shan Shi, Lin Zhou

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引用次数: 3

摘要

为了识别列车车轮踏面损伤，提出了基于PSO-RBFNN的列车车轮踏面损伤模式识别方法。该算法采用PSO-RBFNN算法对RBFNN的中心和扩散进行优化，采用最小二乘法求解连接权值。实验结果表明，与传统RBFNN、BP和GA-RBFNN相比，PSO-RBFNN对测试样本的识别率高于传统RBFNN、BP和GA-RBFNN, PSO-RBFNN算法的进化代数少于RBFNN、BP和GA-RBFNN。

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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. 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.

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International Conference on Computing, Networking, and Communications : [proceedings]. International Conference on Computing, Networking and Communications

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