现代制造工程Issue(1)：76-78,120,4.
径向基函数神经网络在齿轮动载系数计算中的应用
Calculation of dynamic factor of gears based on radial basis function neural network
付昆昆 1李鑫 2郑百林 2徐振忠1
作者信息
- 1. 同济大学航空航天与力学学院,上海200092
- 2. 中船重工第七○三研究所,哈尔滨150078
- 折叠
摘要
Abstract
The diagram of gear dynamic factor was given in the mechanical design manual for gear design due to its complicate and implicit expression,which may induce a larger error because of the recognition accuracy of engineers.Radial Basis Function (RBF) neural network,which was widely used to map the non-linear relation between input and output variables,was introduced to determine the relation between dynamic factor and some factors such as pitch line velocity and quality grade of gears.In addition, a comparison was made between our RBF method with BP one proposed by another study.The results show that RBF neural network are more effective and has a faster convergence rate than BP neural network.This method could be widely used to calculate the dynamic factor and other parameters which are shown diagrammatically.关键词
径向基函数神经网络/齿轮动载系数/BP神经网络/线图Key words
RBF neural network/ dynamic factor of gears /BP neural network/ diagram分类
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付昆昆,李鑫,郑百林,徐振忠..径向基函数神经网络在齿轮动载系数计算中的应用[J].现代制造工程,2013,(1):76-78,120,4.
