Original scientific paper

Markov hot blast stove prediction based on hybrid intelligent algorithm

C. N. Zhang ; School of Computer Science and Software Engineering, University of Science and Technology Liaoning, China
Y. R. Li ; Institute of Applied Technology, University of Science and Technology Liaoning, China

Abstract

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.

Keywords

hot blast stove; mathematical model; data preprocessing; Markov prediction; temperature control

Hrčak ID:

241157

URI

https://hrcak.srce.hr/241157

Publication date:

1.10.2020.

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