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Using an Artificial Neural Network to Simulate the Complete Burnout of Mechanoactivated Coal
Combustion, Explosion, and Shock Waves ( IF 0.9 ) Pub Date : 2019-11-01 , DOI: 10.1134/s0010508219060108
S. S. Abdurakipov , E. B. Butakov , A. P. Burdukov , A. V. Kuznetsov , G. V. Chernova

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%).

中文翻译:

使用人工神经网络模拟机械活性煤的完全燃尽

进行了粉化对煤热破坏影响的实验研究。人工神经网络用于开发一个模型,该模型可以高精度地预测煤粉的燃尽程度(平均相对误差为 3%,确定系数为 96%)。
更新日期:2019-11-01
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