DocumentCode
323441
Title
The chip predicting system to intelligent manufacturing
Author
Ding, Feng ; Shanfa, Tang
Author_Institution
Dept. of Mech. Eng., Jianghan Pet. Inst., Hubei, China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
820
Abstract
This paper introduces chip shape and classification, analyzing the feasibility of chip prediction using neural networks. It presents the theory and method of monitoring and controlling the chip by a multilayer backpropagation (BP) learning rule. The multilayer BP is a new learning algorithm that is based on the optimization of the BP weights matrix. Finally, the test system results of monitoring and control are given
Keywords
backpropagation; computerised monitoring; cutting; feedforward neural nets; industrial control; multilayer perceptrons; optimisation; production engineering computing; chip prediction; chip shape; classification; cutting; intelligent manufacturing; monitoring; multilayer backpropagation learning; multilayer neural network; optimization; weight matrix; Controllability; Data engineering; Frequency; Intelligent manufacturing systems; Learning systems; Neural networks; Petroleum; Physics computing; Shape control; Stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672905
Filename
672905
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