Affiliation:
1. Liaoning University of Science and Technology
2. Ansteel Engineering Technology Corporation Limited
Abstract
This paper took the example of rolling force prediction in the cold rolling process to describe the establishment and application of BP neural network prediction system. This system is a prediction model for generic process. Users can select different parameters to train the network structure according to their needs, and can calculate relative rolling force parameters based on the known structure. This system can provide very valuable process information for workers and researchers .
Publisher
Trans Tech Publications, Ltd.
Reference5 articles.
1. J. Larkioa, P. Myllykoski: Journal of Materials Processing Technology, Vol. 60(1996), p.381.
2. K. Aistleitner, L. G. Mattersdorfer, W. Hass, et al: Journal of Materials Processing Technology, Vol. 60(1996), p.387.
3. N. F. Protmann, Dieter Linhoff, Gunter Sorgel, et al: Iron and Steel Engineer, Vol. 11(1995), p.45.
4. Shaowei Wang, Kiet Tieu: Real time Neuro-fuzzy control for strip thickness in a rolling mill. Proc. Of 7th Int. Conf. On Steel Rolling. Chiba, Japan. ( 1998), p.139.
5. Wang, D.D., Tieu, A.K., de Boer, F.G.: Toward a heuristic optimum design of rolling schedule for tandem cold rolling mills. Engineering Appl. of Artificial Intelligence. Vol. 13(2000), p.397.
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