%0 Journal Article
%T Wavelet decomposition and genetic algorithm based approach for fault diagnosis of analog circuits<br>基于小波分析和遗传神经网络的模拟电路故障诊断方法*
%A LI Xiao-yu
%A HE Yi-gang
%A LI Mu
%A FANG Ge-feng
%A <br>李小玉
%A 何怡刚
%A 李目
%A 方葛丰
%J 计算机应用研究
%D 2011
%I 
%X 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.
%K analogue circuits
%K fault diagnosis
%K wavelet analysis
%K genetic algorithm(GA)
%K neural networks<br>模拟电路
%K 故障诊断
%K 小波分析
%K 遗传算法
%K 神经网络
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=FB5801A5F05F25BD62F1F5DC8417033B&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=59906B3B2830C2C5&sid=64D4A64EBB3B6E7E&eid=512F7318B1A66FE4&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=12