Based on the experimental data obtained from 71 steel plates rolled in 4200 rolling mill,this paper established a RBF neural network prediction model of influential coefficient in stressed state by Matlab neural network toolbox.

• 以4200 mm轧机轧制71块钢板的实测数据为基础；利用Matlab人工神经网络工具箱；建立了轧制变形区的应力状态系数的RBF神经网络预测模型.