以4200轧机大规模测试得到的实验数据为基础，利用Matlab人工神经网络工具箱，建立了该轧机轧制力的预测模型。通过对该网络隐层神经元个数的调整，提高了收敛速度，使轧制力的预测精度大为提高。
Based on the data obtained from large scale experiments, the prediction model of this mill was built. The convergence speed was inereased and the prediction accuracy of the draught pressure was improved by adjusting the number of hidden-layer neurons in the network.
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