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


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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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