| 基于人工神经网络的热轧带钢热流密度预测 |
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| 引用本文： | 张敏,周旭东,刘相华,王国栋.基于人工神经网络的热轧带钢热流密度预测[J].钢铁研究学报,2004,16(3):75-78. |
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| 作者姓名： | 张敏 周旭东 刘相华 王国栋 |
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| 作者单位： | 东北大学轧制技术及连轧自动化国家重点实验室,辽宁,沈阳,110004 |
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| 基金项目： | 国家自然科学基金资助项目(59995440) |
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| 摘 要： | 采用BP神经网络与数学模型相结合的方法对热带精轧机组机架间水冷区带钢热流密度进行预测，进而优化了机架间冷却的数学模型。结果表明，利用BP神经网络得出的带钢热流密度计算的终轧温度与实测值的标准差比原来仅用数学模型的传统算法减少了14．08％，故该方法具有较好的在线应用前景。
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| 关 键 词： | 机架间冷却 BP神经网络 数学模型 热流密度 终轧温度 热轧 带钢 |
| 文章编号： | 1001-0963(2004)03-0075-04 |
| 修稿时间： | 2002年12月12 |
Prediction of Heat-Flow Density for Hot-Rolled Strip Based on Artificial Neural Networks |
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| ZHANG Min,ZHOU Xu-dong,LIU Xiang-hua,WANG Guo-dong.Prediction of Heat-Flow Density for Hot-Rolled Strip Based on Artificial Neural Networks[J].Journal of Iron and Steel Research,2004,16(3):75-78. |
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| Authors: | ZHANG Min ZHOU Xu-dong LIU Xiang-hua WANG Guo-dong |
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| Abstract: | The hot strip heat-flow density in interstand water cooling zones of finishing mill was predicted by mathematical model combined with BP neural network for optimization of the model of interstand cooling. The standard deviation between the predicted and measured finishing temperature was reduced by 14.08 %. The method can be used for on-line prediction. |
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| Keywords: | interstand cooling BP neural network mathematical model heat-flow density finishing temperature hot rolling strip |
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