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%).
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Original Russian Text © S.S. Abdurakipov, E.B. Butakov, A.P. Burdukov, A.V. Kuznetsov, G.V. Chernova.
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Abdurakipov, S.S., Butakov, E.B., Burdukov, A.P. et al. Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal. Combust Explos Shock Waves 55, 697–701 (2019). https://doi.org/10.1134/S0010508219060108
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DOI: https://doi.org/10.1134/S0010508219060108