Title :
The chip predicting system to intelligent manufacturing
Author :
Ding, Feng ; Shanfa, Tang
Author_Institution :
Dept. of Mech. Eng., Jianghan Pet. Inst., Hubei, China
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;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672905
