Expert system of fault diagnosis based on the neural network and regulations

被引：0
|
作者：
Cheng, S [1 ]
Gao, QH [1 ]
Yu, JJ [1 ]
机构：
[1] Second Artillery Engn Coll, Teaching & Res Sect 204, Xian, Shannxi, Peoples R China
来源：
PROCEEDINGS OF THE 3RD WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-5 | 2000年
关键词：
fault diagnosis; neural network; expert system;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
After pointing out the limitations of expert system and neural network respectively, this article gives a model of fault diagnostic expert system which unites mural network and production rules. It also improves the BP neural network model and gets a global optimum algorithm that improves the ability of network Practical application proves that this method can solve the fault diagnostic problem of the multi-fault and multi-procedure complicated mechanical device.
引用
收藏
页码：327 / 329
页数：3
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