The application of fuzzy neural network in fault diagnosis of complex electronic system

被引：0

作者：

Wei, ZL ^{[1
]}

Huang, KL ^{[1
]}

Lian, GY ^{[1
]}

机构：

[1] Ordnance Engn Coll, Shijiazhuang 050003, Heibei, Peoples R China

来源：

ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS | 2003年

关键词：

D O I：

暂无

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

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.

引用

页码：1141 / 1144

页数：4