1.School of Mechanical Engineering，University of Science and Technology Beijing， Beijing 100083， China； 2.BaoXin Stainless Steel Company Limited， Ningbo 315807, Zhejiang, China
Abstract：In order to improve the precision of imported rolling force model and based on BlandFord formula, the modified yield stress model and rolling force model were established by combining mathematical models of yield stress and rolling force with BP neural network and Genetic Algorithm. Lots of actual measured data pretreated and divided according to steel grade were used to train the neural network. The comparison between the measured and predicted rolling force showed that the new rolling force model had higher prediction accuracy.
张清东;徐兴刚;于孟;瞿标;李实. 基于遗传神经网络的不锈钢带冷轧轧制力模型[J]. 钢铁, 2008, 43(12): 46-0.
ZHANG Qingdong;XU Xinggang;YU Meng;QU Biao;LI Shi. Cold Rolling Force Model Based on GA and ANN for Stainless Steel Strip. Iron and Steel, 2008, 43(12): 46-0.
2008, Vol. 43 
