Markov hot blast stove prediction based on hybrid intelligent algorithm

Markov hot blast stove prediction based on hybrid intelligent algorithm

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 d...

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Bibliographic Details
Main Authors: C. N. Zhang, Y. R. Li
Format: Article
Language:English
Published: Croatian Metallurgical Society 2020-01-01
Series:Metalurgija
Subjects:
hot blast stove
mathematical model
data preprocessing
Markov prediction
temperature control
Online Access:https://hrcak.srce.hr/file/350119
id doaj-ec6c8ab7ff36439384a442b5b14c677b
record_format Article
spelling doaj-ec6c8ab7ff36439384a442b5b14c677b2020-11-25T03:07:20ZengCroatian Metallurgical SocietyMetalurgija0543-58461334-25762020-01-01594451454Markov hot blast stove prediction based on hybrid intelligent algorithm C. N. Zhang0Y. R. Li1School of Computer Science and Software Engineering, University of Science and Technology Liaoning, ChinaInstitute of Applied Technology, University of Science and Technology Liaoning, ChinaHot 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.https://hrcak.srce.hr/file/350119hot blast stovemathematical modeldata preprocessingMarkov predictiontemperature control
collection DOAJ
language English
format Article
sources DOAJ
author C. N. Zhang
Y. R. Li
spellingShingle C. N. Zhang
Y. R. Li
Markov hot blast stove prediction based on hybrid intelligent algorithm
Metalurgija
hot blast stove
mathematical model
data preprocessing
Markov prediction
temperature control
author_facet C. N. Zhang
Y. R. Li
author_sort C. N. Zhang
title Markov hot blast stove prediction based on hybrid intelligent algorithm
title_short Markov hot blast stove prediction based on hybrid intelligent algorithm
title_full Markov hot blast stove prediction based on hybrid intelligent algorithm
title_fullStr Markov hot blast stove prediction based on hybrid intelligent algorithm
title_full_unstemmed Markov hot blast stove prediction based on hybrid intelligent algorithm
title_sort markov hot blast stove prediction based on hybrid intelligent algorithm
publisher Croatian Metallurgical Society
series Metalurgija
issn 0543-5846
1334-2576
publishDate 2020-01-01
description 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.
topic hot blast stove
mathematical model
data preprocessing
Markov prediction
temperature control
url https://hrcak.srce.hr/file/350119
work_keys_str_mv AT cnzhang markovhotblaststovepredictionbasedonhybridintelligentalgorithm
AT yrli markovhotblaststovepredictionbasedonhybridintelligentalgorithm
_version_ 1724671148302532608

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