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, 2019, Volume 55, Issue 6,Pages <nobr>70

This article is cited in 10 papers

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

S. S. Abdurakipov^ab, E. B. Butakov^ab, A. P. Burdukov^a, A. V. Kuznetsov^a, G. V. Chernova^a

^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.

UDC: 544.452.1

Received: 19.07.2018
Revised: 22.10.2018
Accepted: 28.11.2018

DOI: 10.15372/FGV201906010