| 炼铁生产入炉焦化等指标的时间序列预测方法 |
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| 引用本文： | 郝小红,谢安国.炼铁生产入炉焦化等指标的时间序列预测方法[J].鞍山科技大学学报,2002,25(4):283-287. |
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| 作者姓名： | 郝小红 谢安国 |
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| 作者单位： | 鞍山科技大学材料科学与工程学院 辽宁鞍山114044
(郝小红)，鞍山科技大学材料科学与工程学院 辽宁鞍山114044(谢安国) |
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| 摘 要： | 研究了生产过程的时间序列预测方法 ,并对某厂炼铁生产的入炉焦比等指标进行预测 ,得到了较好的结果 .文中阐述的基于BP神经网络的混沌时间序列预测方法 ,Box_Jenkins的自回归移动平均模型方法和混沌预测方法既有理论意义 ,也有实用价值
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| 关 键 词： | 炼铁 入炉焦比 预测 混沌 BP神经网络 |
| 文章编号： | 1000-1654(2002)04-0283-05 |
| 修稿时间： | 2002年3月14日 |
On Time Series Forecasting Methods for Coke Ratios and Other Factors of Iron-Making |
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| HAO Xiao_hong,XIE An_guo.On Time Series Forecasting Methods for Coke Ratios and Other Factors of Iron-Making[J].Journal of Anshan University of Science and Technology,2002,25(4):283-287. |
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| Authors: | HAO Xiao_hong XIE An_guo |
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| Abstract: | It shows that the forecasting methods based on time series to produce are discussed and coke ratios to iron_make and other factors are forecasted by the methods in the paper.The example shows the method can get satisfying result.It is significant and valuable that chaos time series forecasting based on BP neural networks,Box_Jenkins ARMA model forecasting and simple chaos forecasting method. |
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| Keywords: | iron_making coke ratios forecasting chaos BP neural networks |
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