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

被引：0
|
作者：
S. S. Abdurakipov
E. B. Butakov
A. P. Burdukov
A. V. Kuznetsov
G. V. Chernova
机构：
[1] Russian Academy of Sciences,Kutateladze Institute of Thermophysics, Siberian Branch
[2] Novosibirsk State University,undefined
来源：
Combustion, Explosion, and Shock Waves | 2019年 / 55卷
关键词：
coal; high-stress pulverization; synchronous thermal analyzer; flame; machine learning; artificial neural network;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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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收藏
页码：697 / 701
页数：4
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