论文部分内容阅读
对利用基于模糊规则的神经网络分类器进行模拟电路故障诊断的方法进行了研究。提出了ＦＲＣ（ＦｕｚｙＲｕｌｅＣｌａｓｓｉｆｉｅｒ）网络模型及其学习算法，它适用于多种类、多规则的分类问题。还探讨了模拟电路故障的一阶及二阶特征概念，并给出了一个用ＦＲＣ进行故障诊断的实例
The method of analog circuit fault diagnosis using neural network classifier based on fuzzy rules is studied. The network model of FRC (FuzyRuleClassifier) and its learning algorithm are proposed. It is suitable for multi-class and multi-class classification problems. The concepts of first-order and second-order features of analog circuit faults are also discussed and an example of fault diagnosis using FRC is given