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

被引：7
|
作者：
Abdurakipov, S. S. [1 ,2 ]
Butakov, E. B. [1 ,2 ]
Burdukov, A. P. [1 ]
Kuznetsov, A. V. [1 ]
Chernova, G. V. [1 ]
机构：
[1] Russian Acad Sci, Kutateladze Inst Thermophys, Siberian Branch, Novosibirsk 630090, Russia
[2] Novosibirsk State Univ, Novosibirsk 630090, Russia
来源：
COMBUSTION EXPLOSION AND SHOCK WAVES | 2019年 / 55卷 / 06期
基金：
俄罗斯基础研究基金会;
关键词：
coal; high-stress pulverization; synchronous thermal analyzer; flame; machine learning; artificial neural network; ASH FUSION TEMPERATURE; AUTOTHERMAL COMBUSTION; MICRONIZED COAL;
D O I：
10.1134/S0010508219060108
中图分类号：
O414.1 [热力学];
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%).
引用
收藏
页码：697 / 701
页数：5
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