Recognition of industrial parts based on BP neural network

被引：0
|
作者：
Liu, B [1 ]
Jiang, LF [1 ]
Shi, LH [1 ]
机构：
[1] Harbin Univ Sci & Technol, Coll Measure Control Technol & Commun Engn, Harbin 150080, Peoples R China
来源：
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 2 | 2002年
关键词：
image processing; neural network; BP algorithm; pattern recognition;
D O I：
暂无
中图分类号：
O65 [分析化学];
学科分类号：
070302 ; 081704 ;
摘要：
The human-computer communication mode is adopted to identify the parts. In the-course of Pattern Recognition, We adopted BP neural network and brings forward a sort of improved BP algorithm based on the limitation of the BP algorithm. When the BP neural network algorithm is applied for identification of industrial parts, the speed and accuracy of identification is improved greatly. The practices indicate that this system can increase productivity and guarantee the quality of products.
引用
收藏
页码：794 / 798
页数：5
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