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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

Puni tekst: engleski pdf 510 Kb

str. 451-454

preuzimanja: 357



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.

Ključne riječi

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

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Posjeta: 745 *