| 基于神经网络的转炉冶炼终点锰、磷静态预报模型 |
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| 引用本文： | 甄云璞 冯聚和. 基于神经网络的转炉冶炼终点锰、磷静态预报模型[J]. 河北理工学院学报, 2007, 29(2): 16-19 |
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| 作者姓名： | 甄云璞 冯聚和 |
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| 作者单位： | 河北理工大学冶金与能源学院,河北唐山063009 |
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| 摘 要： | 我国钢铁企业所使用的转炉多为中小型转炉，因容量小无法采用动态控制技术。而传统的静态控制模型计算精度差，终点命中率低，实际生产中的应用效果不好。所以本文充分利用最近发展起来的人工神经网络技术，以Visual Basic编程语言为工具，建立了基于神经网络的转炉冶炼终点锰、磷静态预报模型。
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| 关 键 词： | 神经网络 转炉冶炼 锰磷含量预报 终点命中率 |
| 文章编号： | 1007-2829（2007）02-0016-04 |
| 修稿时间： | 2006-11-04 |
Static Prediction Model of Mn & P Endpiont Content for Converter Smelting Based on Neural Nfetwork |
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| ZHEN Yun-pu,FENG Ju-he. Static Prediction Model of Mn & P Endpiont Content for Converter Smelting Based on Neural Nfetwork[J]. Journal of Hebei Institute of Technology, 2007, 29(2): 16-19 |
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| Authors: | ZHEN Yun-pu FENG Ju-he |
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| Affiliation: | College of Metallurgy and Energy, Hebei Polytechnic University,Tangshan Hebei 063009 ,China |
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| Abstract: | The most converters are medium or small converters in china.The converter's capacity is small,so can' t use the dynamic control technique.The traditional static model's calculation accuracy is bad,target hit rate is low,and it's application effect in actual production is not good.So,the artificial neural network technology develo- ping in recently was taked full advantage,the static prediction model of end-point content for oxygen-converter based on neural network with the Visual Basic programme language has beed established. |
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| Keywords: | neural network endpoint of converter smelting prdicting endpoint for phosphor an manganese content hit rate |
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