Title :
A regularization-based neural network for the measurement of shape information
Author :
Sun, Xinyu ; Qiao, Junfei ; Ye, Xudong
Author_Institution :
Sch. of Electron. & Control Eng., Beijing Univ. of Technol., China
Abstract :
The measurement and disposal of shape information plays a vital role in strip rolling process and it also is one of the focus in strip rolling theory today. In this paper, based on the predictive shape control system, a predictive model is developed in which the regularization method is adopted. Through the simulation on the data of four high reversible rolling mills, it proved this model can conquer the defects of the mathematical model effectively and get a desirable performance of shape control easily.
Keywords :
neural nets; predictive control; rolling mills; shape control; shape measurement; strips; predictive shape control system; regularization-based neural network; rolling mills; shape information measurement; strip rolling process; Control engineering; Mathematical model; Neural networks; Power measurement; Power supplies; Predictive models; Shape control; Shape measurement; Strips; Sun;
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
DOI :
10.1109/WCICA.2004.1343138
