首页> 外文会议>International symposium on test and measurement >The Application of Fuzzy Neural Network in Fault Diagnosis of Complex Electronic System
【24h】

The Application of Fuzzy Neural Network in Fault Diagnosis of Complex Electronic System

机译:模糊神经网络在复杂电子系统故障诊断中的应用

获取原文
获取外文期刊封面目录资料

摘要

In fault diagnosis of electronic system fuzzy neural network is mainly applied in the fault pattern recognition and the fault prediction. This paper briefly introduces the application principle of FNN, and constructs a four-layers of FNN, which treats the input layer with fuzziness. It introduces the fuzzification treating of input layer and the de-fuzzication of output layer and the fault diagnosis algorithm. The result shows the advantage of FNN.
机译:在故障诊断中,电子系统模糊神经网络主要应用于故障模式识别和故障预测。本文简要介绍了FNN的应用原理,并构建了四层FNN,其用模糊性处理输入层。它介绍了输入层的模糊处理和输出层的去义和故障诊断算法。结果显示了FNN的优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号