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Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal. / Abdurakipov, S. S.; Butakov, E. B.; Burdukov, A. P. et al.

In: Combustion, Explosion and Shock Waves, Vol. 55, No. 6, 01.11.2019, p. 697-701.

Research output: Contribution to journal › Article › peer-review

Harvard

Abdurakipov, SS, Butakov, EB, Burdukov, AP, Kuznetsov, AV & Chernova, GV 2019, 'Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal', Combustion, Explosion and Shock Waves, vol. 55, no. 6, pp. 697-701. https://doi.org/10.1134/S0010508219060108

APA

Abdurakipov, S. S., Butakov, E. B., Burdukov, A. P., Kuznetsov, A. V., & Chernova, G. V. (2019). Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal. Combustion, Explosion and Shock Waves, 55(6), 697-701. https://doi.org/10.1134/S0010508219060108

Vancouver

Abdurakipov SS, Butakov EB, Burdukov AP, Kuznetsov AV, Chernova GV. Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal. Combustion, Explosion and Shock Waves. 2019 Nov 1;55(6):697-701. doi: 10.1134/S0010508219060108

Author

Abdurakipov, S. S. ; Butakov, E. B. ; Burdukov, A. P. et al. / Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal. In: Combustion, Explosion and Shock Waves. 2019 ; Vol. 55, No. 6. pp. 697-701.

BibTeX

@article{0ceb5968757f4222acbb0fac4b618ddb,
title = "Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal",
abstract = "An experimental study of the effect of pulverization 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 pulverized coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).",
keywords = "artificial neural network, coal, flame, high-stress pulverization, machine learning, synchronous thermal analyzer",
author = "Abdurakipov, {S. S.} and Butakov, {E. B.} and Burdukov, {A. P.} and Kuznetsov, {A. V.} and Chernova, {G. V.}",
year = "2019",
month = nov,
day = "1",
doi = "10.1134/S0010508219060108",
language = "English",
volume = "55",
pages = "697--701",
journal = "Combustion, Explosion and Shock Waves",
issn = "0010-5082",
publisher = "Springer New York",
number = "6",

}

RIS

TY - JOUR

T1 - Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal

AU - Abdurakipov, S. S.

AU - Butakov, E. B.

AU - Burdukov, A. P.

AU - Kuznetsov, A. V.

AU - Chernova, G. V.

PY - 2019/11/1

Y1 - 2019/11/1

N2 - An experimental study of the effect of pulverization 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 pulverized coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).

AB - An experimental study of the effect of pulverization 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 pulverized coals with high accuracy (an average relative error of 3% and a determination coefficient of 96%).

KW - artificial neural network

KW - coal

KW - flame

KW - high-stress pulverization

KW - machine learning

KW - synchronous thermal analyzer

UR - http://www.scopus.com/inward/record.url?scp=85077028056&partnerID=8YFLogxK

U2 - 10.1134/S0010508219060108

DO - 10.1134/S0010508219060108

M3 - Article

AN - SCOPUS:85077028056

VL - 55

SP - 697

EP - 701

JO - Combustion, Explosion and Shock Waves

JF - Combustion, Explosion and Shock Waves

SN - 0010-5082

IS - 6

ER -

ID: 23054876