DocumentCode
354217
Title
A neural network based on mechanism model and it´s application in prediction of rolling force
Author
Zhiyi, Sun
Author_Institution
Dept. of Autom., Taiyuan Heavy Machinery Inst., China
Volume
2
fYear
2000
fDate
2000
Firstpage
1073
Abstract
A synthetic method of neural network and mechanistic modelling is presented. This method merges the mechanistic model knowledge with the neural network structure. It greatly reduces the number of weights of the network. The learning speed, nonlinear approximation precision and generalization performance of the network are improved. The effect of application in rolling force prediction is excellent
Keywords
backpropagation; generalisation (artificial intelligence); neural nets; rolling mills; generalization performance; learning speed; mechanism model; mechanistic model knowledge; neural network structure; nonlinear approximation precision; rolling force prediction; Automation; Intelligent networks; Machinery; Neural networks; Prediction algorithms; Predictive models; Sun;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location
Hefei
Print_ISBN
0-7803-5995-X
Type
conf
DOI
10.1109/WCICA.2000.863403
Filename
863403
Link To Document