摘要
将小波神经网络运用到故障诊断系统中。并根据小波网络构造原理,给出一种新的小波网络训练算法———共轭梯度法。实验证明小波网络比传统的BP网络收敛速度快、抗干扰能力强和对模糊边界数据识别性能优越。
The paper gives the application of wavelet network to fault diagnosis system,and proposes a new training algorithm-conjugate gradient algorithm based on the construction theory of wavelet network.The simu-(lation) results show that compared to BP network, Wavelet network has faster convergence,stronger anti-jamming,and better discernment of blurring margin data.
出处
《信息技术》
2004年第9期54-56,60,共4页
Information Technology
关键词
小波神经网络
故障诊断
共轭梯度法
Wavelet neural network
fault diagnosis
conjugate grads
