Optimization Design of Rolling Schedules with Rolling Force Self-learning

Single and multi-object optimization planning are presented for 1370mm tandem cold rolling schedules separately, in which, BP neural network with self-learning function is adopted to predict the rolling force instead of traditional models. Analysis and comparison with existing schedules are offered, and the performance of the optimal rolling schedules is satisfying.