计算机工程与应用2012，Vol.48Issue(8)：32-34,3.DOI:10.3778/j.issn.1002-8331.2012.08.009
基于GA-RBFNN算法的列车车轮踏面损伤识别
Recognition of train wheel tread damages based on GA-RBFNN algorithm
摘要
Abstract
In order to the recognition of Ihe train wheel tread damages, the pattern recognition method of the train wheel tread damages is developed. The algorithm uses float encoding to encode learning parameters of network, establishes fitness function, optimizes learning parameters by using the operation of selection, crossover, mutation. Compared with the traditional RBFNN and BP, the experimental results show that the recognition rate of testing samples is higher than traditional RBFNN and BP, the evolutional generations of GA-RBFNN algorithm are less than recursive times of traditional RBFNN and BP.关键词
遗传算法-径向基函数神经网络(GA-RBFNN)/踏面损伤/识别Key words
Genetic Algorithm-Radial Basis Function Neural Network( GA-RBFNN)/ tread damage/ recognition分类
信息技术与安全科学引用本文复制引用
赵勇..基于GA-RBFNN算法的列车车轮踏面损伤识别[J].计算机工程与应用,2012,48(8):32-34,3.基金项目
陕西省自然科学基础研究计划资助项目(No.2011JQ8013). （No.2011JQ8013）
