| 神经网络方法在预报高炉铁水硅含量上的应用研究 |
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| 引用本文： | 孙铁栋 杨章远. 神经网络方法在预报高炉铁水硅含量上的应用研究[J]. 钢铁, 1996, 31(3): 18-20,26 |
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| 作者姓名： | 孙铁栋 杨章远 |
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| 作者单位： | 钢铁研究总院，中科院化工冶金研究所 |
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| 摘 要： |
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| 关 键 词： | BP神经网络 高炉 铁水 含硅量 神经网络 |
APPLICATION OF ARTIFICIAL NEURAL NETWORK TO PREDICT THE SILICON CONTENT IN MOLTEN IRON |
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| SUN Tiedong. APPLICATION OF ARTIFICIAL NEURAL NETWORK TO PREDICT THE SILICON CONTENT IN MOLTEN IRON[J]. Iron & Steel, 1996, 31(3): 18-20,26 |
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| Authors: | SUN Tiedong |
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| Abstract: | In this paper,ANN(Artificial Neural Network)method is applied to predict the silicon content in molten iron,Several variables have been selected,and a three layers BP(Background Propagation)neural network model is set up.With the BP network,the suitable results have been obtained to predict the Si content in molten iron using the real time data. |
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| Keywords: | BP neural netwok blast furnace silicon content in molten iron |
| 本文献已被 CNKI 维普 等数据库收录！ |
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