| 基于神经网络的中厚板轧机轧制力模型 |
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| 引用本文： | 韩丽丽,孟令启,张洛明,马金亮.基于神经网络的中厚板轧机轧制力模型[J].钢铁研究学报,2007,19(6):95-0. |
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| 作者姓名： | 韩丽丽 孟令启 张洛明 马金亮 |
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| 作者单位： | 郑州大学机械学院,河南,郑州,450052;郑州大学机械学院,河南,郑州,450052;郑州大学机械学院,河南,郑州,450052;郑州大学机械学院,河南,郑州,450052 |
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| 摘 要： | 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。
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| 关 键 词： | 轧制力 BP网络 预测 |
| 文章编号： | 1001-0963（2007）06-0095-04 |
| 收稿时间： | 1900-01-01; |
| 修稿时间： | 2007-02-06 |
Draught Pressure Model of Medium Plate Mill Based on Neural Network |
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| HAN Li-li,MENG Ling-qi,ZHANG Luo-ming,MA Jin-liang.Draught Pressure Model of Medium Plate Mill Based on Neural Network[J].Journal of Iron and Steel Research,2007,19(6):95-0. |
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| Authors: | HAN Li-li MENG Ling-qi ZHANG Luo-ming MA Jin-liang |
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| Affiliation: | College of Mechanical Engineering, Zhengzhou University, Zhengzhou 450052, Henan, China |
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| Abstract: | 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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| Keywords: | draught pressure BP neural network prediction |
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