| 基于神经网络的转炉冶炼终点磷和硫含量预报模型 |
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| 引用本文： | 冯聚和,郑玉平,李秀娟,朱新华,毕娜.基于神经网络的转炉冶炼终点磷和硫含量预报模型[J].河北理工学院学报,2008(3). |
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| 作者姓名： | 冯聚和 郑玉平 李秀娟 朱新华 毕娜 |
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| 作者单位： | 河北理工大学冶金与能源学院; |
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| 摘 要： | 通过研究转炉冶炼终点磷、硫含量的影响因素.确定了影响冶炼终点的控制变量,根据人工神经网络技术,对常用BP算法进行改进,建立了基于神经网络的转炉冶炼终点双节点输出模型,实现了对终点钢水磷、硫含量同时进行预报,选取现场实际生产数据为样本,对模型进行训练,使模型对磷、硫含量的预报误差在±0.003%的命中率均达到了85%以上,预报精度达到了炼钢工艺的要求。
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| 关 键 词： | 转炉冶炼 神经网络 终点成分 预报模型 |
Predication Model of End.point for Converter Smelting Based on Neural Network |
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| FENG Ju-he ZHENG Yu-ping LI Xiu-uan ZHU Xin-hua BI Na.Predication Model of End.point for Converter Smelting Based on Neural Network[J].Journal of Hebei Institute of Technology,2008(3). |
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| Authors: | FENG Ju-he ZHENG Yu-ping LI Xiu-uan ZHU Xin-hua BI Na |
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| Institution: | FENG Ju-he ZHENG Yu-ping LI Xiu-uan ZHU Xin-hua BI Na (College of Metallurgy , Energy Sources,Hebei Polytechnic University,Tangshan Hebei 063009,China) |
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| Abstract: | According to the research of the factors of End-point Contents phosphor and sulfur in Convener,the domi- native variable of the Model of End-point for Converter smelting is fixed.According to the improvement of artificial neural network technic,this article establishes the Model for P and S of End-point for Converter smelting Based on Neural Network.Produced data are chosen as the sample and the model is trained to make it approach to the predic- tion of dynamic control. |
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| Keywords: | converter smelting neural network end point predcting content forecast model |
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