Wavelet decomposition and genetic algorithm based approach for fault diagnosis of analog circuits
基于小波分析和遗传神经网络的模拟电路故障诊断方法*

In order to solve the problems of BP(back-propagation) network usually converges to local minimum and over-fitting and other shortcomings,this paper developed a wavelet decomposition and GA based approach for analog circuits.Using the wavelet decomposition as a preprocessor,extracted the feature information by wavelet de-noising and optimized BP by GA.A comparison of our work with BPNN,which reveals that this work improves network structure and increase fault diagnosis precision and velocity.