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Fizika Goreniya i Vzryva, 2019, Volume 55, Issue 6, Pages 70–75
DOI: https://doi.org/10.15372/FGV201906010
(Mi fgv635)
 

This article is cited in 10 scientific papers (total in 10 papers)

Using an artificial neural network to model the complete burnout of mechanoactivated coal

S. S. Abdurakipovab, E. B. Butakovab, A. P. Burdukova, A. V. Kuznetsova, G. V. Chernovaa

a Kutateladze Institute of Thermophysics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, 630090, Russia
b Novosibirsk State University, Novosibirsk, 630090, Russia
Abstract: An experimental study of the effect of grinding on the thermal destruction of coal is carried out. Artificial neural networks are used to develop a model that allows predicting the degree of burnout of ground coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).
Keywords: coal, high-stress grinding, synchronous thermal analyzer, torch, machine learning, artificial neural network.
Received: 19.07.2018
Revised: 22.10.2018
Accepted: 28.11.2018
English version:
Combustion, Explosion and Shock Waves, 2019, Volume 55, Issue 6, Pages 697–701
DOI: https://doi.org/10.1134/S0010508219060108
Bibliographic databases:
Document Type: Article
UDC: 544.452.1
Language: Russian
Citation: S. S. Abdurakipov, E. B. Butakov, A. P. Burdukov, A. V. Kuznetsov, G. V. Chernova, “Using an artificial neural network to model the complete burnout of mechanoactivated coal”, Fizika Goreniya i Vzryva, 55:6 (2019), 70–75; Combustion, Explosion and Shock Waves, 55:6 (2019), 697–701
Citation in format AMSBIB
\Bibitem{AbdButBur19}
\by S.~S.~Abdurakipov, E.~B.~Butakov, A.~P.~Burdukov, A.~V.~Kuznetsov, G.~V.~Chernova
\paper Using an artificial neural network to model the complete burnout of mechanoactivated coal
\jour Fizika Goreniya i Vzryva
\yr 2019
\vol 55
\issue 6
\pages 70--75
\mathnet{http://mi.mathnet.ru/fgv635}
\crossref{https://doi.org/10.15372/FGV201906010}
\elib{https://elibrary.ru/item.asp?id=41338802}
\transl
\jour Combustion, Explosion and Shock Waves
\yr 2019
\vol 55
\issue 6
\pages 697--701
\crossref{https://doi.org/10.1134/S0010508219060108}
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  • https://www.mathnet.ru/eng/fgv/v55/i6/p70
  • This publication is cited in the following 10 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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