Study on pattern recognition of the quality control chart used on neural network

被引：0

作者：

Chen, P ^{[1
]}

Liu, JQ ^{[1
]}

Luo, J ^{[1
]}

机构：

[1] Harbin Inst Technol, Dept Elect Engn, Harbin 150001, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

flexible manufacturing system; neural network; pattern recognition; quality control chart;

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：

The quality control chart is the main tool of quality control in FMS. The pattern recognition of the quality control chart using neural network is presented. Thus the pattern recognition of the quality control chart can be implemented automatically. The configuration of the neural network is more simple. the capability of recognition is more powerful and training time is less. The six basic patterns can be quickly identified by this approach. The mixed pattern with two basic patterns can also be recognized. The simulation results are given in this paper.

引用

页码：790 / 793

页数：4