| 高炉铁水硅含量的神经网络时间序列预报 |
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| 引用本文： | 刘金琨 邓守强. 高炉铁水硅含量的神经网络时间序列预报[J]. 钢铁研究学报, 1996, 8(3): 63-66 |
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| 作者姓名： | 刘金琨 邓守强 |
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| 作者单位： | 东北大学，东北大学钢铁冶金系 |
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| 摘 要： | 利用ＢＰ网络实现了高炉铁水硅含量的时间序列预报，并以高炉铁水硅含量的历史数据对下一炉铁水的硅含量进行离线预报。结果表明，本模型具有较好的预报效果。
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| 关 键 词： | 高炉 预报 铁水 硅含量 神经网络 自动控制 |
Time-Series Prediction of Silicon Content in Hot Metal by Neural Network |
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| Liu Jinkun,Deng Shouqiang, Su Shiquan. Time-Series Prediction of Silicon Content in Hot Metal by Neural Network[J]. Journal of Iron and Steel Research, 1996, 8(3): 63-66 |
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| Authors: | Liu Jinkun Deng Shouqiang Su Shiquan |
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| Affiliation: | Liu Jinkun;Deng Shouqiang; Su Shiquan |
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| Abstract: | A time-series prediction model has been developed to predict silicon content in hot metal by neural network, and off-line prediction of future silicon content is to be made according to the historical data of silicon content in blast furnace.The simulation indicates this model results in good effect. |
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| Keywords: | blast furnace BP network prediction hot metal silicon content |
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