MARKOV HOT BLAST STOVE PREDICTION BASED ON HYBRID INTELLIGENT ALGORITHM

被引：0
|
作者：
Zhang, C. N. [1 ]
Li, Y. R. [2 ]
机构：
[1] Univ Sci & Technol Liaoning, Sch Comp Sci & Software Engn, Anshan, Peoples R China
[2] Univ Sci & Technol Liaoning, Inst Appl Technol, Anshan, Peoples R China
来源：
METALURGIJA | 2020年 / 59卷 / 04期
关键词：
hot blast stove; mathematical model; data preprocessing; Markov prediction; temperature control;
D O I：
暂无
中图分类号：
TF [冶金工业];
学科分类号：
0806 ;
摘要：
Hot blast stove air supply is a continuous process, and the working conditions are very complex. The improper data processing of the traditional Markov prediction will easily lead to the deviation of the results. In this paper, a hybrid intelligent optimization algorithm is used to pre-process the data sources and obtain reasonable data. The experimental results show that the algorithm has good convergence and stability. The improved Markov predicted value is close to the actual value and accords with the target.
引用
收藏
页码：451 / 454
页数：4
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