模糊小波神经网络的研究及其应用

基金项目:

河南省重点科技攻关项目(072102240006)

Research of Fuzzy Wavelet Neural Network and Its Applicatio

College of Electrical Engineering and Automation of Henan Polytechnic University,Jiaozuo 454000,China

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。
- 小波分析 /
- 神经网络 /
- 模糊规则 /
- 故障诊断
Abstract: 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.
- wavelet analysis /
- neural network /
- fuzzy rule /
- fault diagnosis