Email this article Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal
- Authors: Abdurakipov S.S.1,2, Butakov E.B.1,2, Burdukov A.P.1, Kuznetsov A.V.1,2, Chernova G.V.1
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Affiliations:
- Kutateladze Institute of Thermophysics, Siberian Branch
- Novosibirsk State University
- Issue: Vol 55, No 6 (2019)
- Pages: 697-701
- Section: Article
- URL: https://journals.rcsi.science/0010-5082/article/view/153299
- DOI: https://doi.org/10.1134/S0010508219060108
- ID: 153299
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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%).
About the authors
S. S. Abdurakipov
Kutateladze Institute of Thermophysics, Siberian Branch; Novosibirsk State University
Email: e_butakov@mail.ru
Russian Federation, Novosibirsk, 630090; Novosibirsk, 630090
E. B. Butakov
Kutateladze Institute of Thermophysics, Siberian Branch; Novosibirsk State University
Author for correspondence.
Email: e_butakov@mail.ru
Russian Federation, Novosibirsk, 630090; Novosibirsk, 630090
A. P. Burdukov
Kutateladze Institute of Thermophysics, Siberian Branch
Email: e_butakov@mail.ru
Russian Federation, Novosibirsk, 630090
A. V. Kuznetsov
Kutateladze Institute of Thermophysics, Siberian Branch; Novosibirsk State University
Email: e_butakov@mail.ru
Russian Federation, Novosibirsk, 630090; Novosibirsk, 630090
G. V. Chernova
Kutateladze Institute of Thermophysics, Siberian Branch
Email: e_butakov@mail.ru
Russian Federation, Novosibirsk, 630090
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