Title :
The research on integrated neural networks in rolling load prediction system for temper mill
Author :
He, Hai-tao ; Liu, Hong-Min
Author_Institution :
Coll. of Inf. Sci. & Eng., Yanshan Univ., Qinhuangdao, China
Abstract :
In order to improve the predicting precision of rolling load, a new approach is proposed in which artificial neural network is integrated with theoretical rolling load model, and deformation resistance can be predicted based on measured data. Moreover, traditional self-learning is involved in the system. The practice has proved that the new method can predict the rolling load on temper mill with a high precision.
Keywords :
neural nets; rolling mills; tempering; unsupervised learning; artificial neural network; deformation resistance prediction; integrated neural network; rolling load prediction system; self learning; temper mill; theoretical rolling load model; Deformable models; Educational institutions; Electrical resistance measurement; Friction; Intelligent networks; Load modeling; Mathematical model; Milling machines; Neural networks; Predictive models; Rolling load; neural network; prediction; temper mill;
Conference_Titel :
Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
Conference_Location :
Guangzhou, China
Print_ISBN :
0-7803-9091-1
DOI :
10.1109/ICMLC.2005.1527653
