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ji yu zi hui gui fen bu zhi hou mo xing de gao lu tie shui gui han liang de yu bao
Author(s): 
Pages: 419-423
Year: Issue:  4
Journal: Acta Scientiarum Naturalium Universitatis Neimongol

Keyword:  hot metal silicon contentdifference transformautoregressive distributed lag modeltime delay;
Abstract: 高炉冶炼过程中,铁水硅含量是评定高炉炉况稳定性和生铁质量的重要指标,其预测和控制对高炉的稳定顺行有重要意义.基于包钢6号高炉的生产数据,建立差分时间序列的自回归分布滞后模型对高炉铁水硅含量进行预测.结果表明:在炉况波动较小的情况下,该模型的预测命中率能达到87.5%,对实际的生产操作过程有一定的指导意义.
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