模糊小波神经网络的研究及其应用  

Research of Fuzzy Wavelet Neural Network and Its Application

作　　者：王新[1] 戴丽[1] 

机构地区：[1]河南理工大学电气工程与自动化学院,河南焦作454000

出　　处：《工矿自动化》2008年第4期43-46,共4页Journal Of Mine Automation

基　　金：河南省重点科技攻关项目(072102240006)

摘　　要：针对小波神经网络训练时间较长且易陷入局部极小值的缺点,文章提出了将小波神经网络融合模糊算法的方法,并建立了模糊小波神经网络模型及其训练算法,给出了该模型在变频调速系统故障预测中的应用实例。应用结果表明,模糊小波神经网络提高了网络训练速度,达到了优良的函数逼近效果。Aiming at disadvantages of wavelet neural network such as long training time and easily gets into local minimum value, the paper put forward a method that wavelet neural network fused fuzzy algorithm, and built fuzzy wavelet neural network model and its training algorithm. It gave practical sample of the model in fault prediction of frequency-conversion speed-regulation system. The application result indicated that fuzzy wavelet neural network improves network training speed and achieves good effect of function approximation.

关 键 词：小波分析 神经网络 模糊规则 故障诊断 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] O231[自动化与计算机技术—控制科学与工程]