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基于BP神经网络的模拟电路故障诊断
引用本文:李云红. 基于BP神经网络的模拟电路故障诊断[J]. 计算机与数字工程, 2009, 37(6): 192-194
作者姓名:李云红
作者单位:吉首大学物理科学与信息工程学院,吉首,416000
摘    要:BP神经网络因其良好的模式分类能力而被广泛用于模拟电路故障诊断中,但故障分辨率不高,用BP神经网络和其它技术相结合的小波神经网络和量子神经网络进行故障诊断,通过仿真证明故障分辨率得到很大提高。

关 键 词:BP网络  小波神经网络  QNN

Analog Circuit Fault Diagnosis Based on BP Neural Network
Li Yunhong. Analog Circuit Fault Diagnosis Based on BP Neural Network[J]. Computer and Digital Engineering, 2009, 37(6): 192-194
Authors:Li Yunhong
Affiliation:College of Physics Science and Information Engineering;Jishou University;Jishou 416000
Abstract:BP neural network pattern classification because of its good ability to be widely used in analog circuit fault diagnosis,but the fault resolution is not high.With BP neural network and other technology that combines wavelet neural networks(Not only can effectively extract the energy characteristics of fault information,can reduce the entire neural network structure) and quantum neural network(Fuzzy data can be correctly classified) fault diagnosis through the simulation proved to improve a lot of fault reso...
Keywords:BP network  WNN  QNN  
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