摘要
提出了利用模糊神经网络对容差网络进行故障诊断的算法,论述了诊断系统的设计过程和训练样本集的构成.通过在最小值最大值间插值的方式,很好地解决了容差带来的问题.实例验证表明,该方法对容差网络的故障诊断是有效的.
In this paper,an algorithm based on fuzzy neural network for fault diagnosis of analog circuits is introduced.The design of the diagnostic system and the structure of samples used for training the fuzzy neural network are expounded.By way of inserting values between the minimum and the maximum,problems caused by tolerance can be solved readily.Experimental results show that this method is effective for the fault diagnosis of tolerance network. Z
出处
《内蒙古工业大学学报（自然科学版）》
2003年第3期218-222,共5页
Journal of Inner Mongolia University of Technology：Natural Science Edition
基金
内蒙古自治区自然科学基金资助项目(No.200208020204)
内蒙古工业大学青年基金项目(No.200212)
关键词
模拟电路
模糊神经网络
故障诊断
analog circuit
fuzzy neural network
fault diagnosis
