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基于BP神经网络的凸轮升程曲线拟合研究
引用本文:吴占涛,戴胜军.基于BP神经网络的凸轮升程曲线拟合研究[J].微计算机信息,2011(3).
作者姓名:吴占涛  戴胜军
作者单位:三一重工股份有限公司;湖南大学;
摘    要:基于BP神经网络方法,研究了凸轮升程曲线的拟合及BP神经网络拓扑结构、运行参数的选取规则。利用BP神经网络可实现复杂的凸轮升程曲线精确拟合,而不必事先假定凸轮升程曲线类型。实例表明采用BP神经网络拟合的凸轮升程曲线具有良好的速度、加速度连续性,保证了凸轮良好的动力性能。

关 键 词:BP神经网络  凸轮升程  曲线拟合  

A study on the method of cam lifting curve fitting based on BP neural network
WU Zhan-tao DAI Sheng-jun.A study on the method of cam lifting curve fitting based on BP neural network[J].Control & Automation,2011(3).
Authors:WU Zhan-tao DAI Sheng-jun
Affiliation:WU Zhan-tao DAI Sheng-jun(SANY Heavy Industry CO.,LTD.,Changsha 410100,Hunan,China)(Hunan University,Changsha 410082,China)
Abstract:Based on the method of BP neural network function,this paper presents a thorough study of cam lifting curve fitting and the rules of choose network topology and the operating parameters.And it gives a new approach of using BP neural network to indicate the complex cam lifting curve,instead of postulating the type of the cam lifting curve in advance.The example indicates the fitting cam lifting curve adopted this method of BP neural network function has better continuous performance of velocity and accelerat...
Keywords:BP Neural Network  Cam Lifting  Curve Fitting  
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