摘要
从几个方面介绍了存在于模拟电路中的故障类型。通过阐述BP神经网络的模式识别特点,提出了应用BP神经网络来解决电路故障诊断问题,并且分别应用BP算法和几种改进的BP算法进行结果比较。
Diagnosis styles involved in circuit to us from several parts are introduced. Meanwhile, it illustrates a advantage of pattern identification of BP neural network, basing on the content above can apply the BP neural network to resolve the problems of circuit fault diagnosis, and then can compare the basic BP algorithm with the improved ones in an area of results.
出处
《煤矿机械》
北大核心
2009年第3期196-198,共3页
Coal Mine Machinery
关键词
BP神经网络
故障诊断
模式识别
BP neural network
fault diagnosis
pattern identification
