Experimental study and extreme gradient boosting (XGBoost) based prediction of caking ability of coal blends

被引：1
|
作者：
Rzychoń, Maciej [1 ]
Żogala, Alina [1 ]
Róg, Leokadia [2 ]
机构：
[1] Department of Acoustics, Electronics and IT Solutions, Central Mining Institute, Plac Gwarków 1, Katowice,40-166, Poland
[2] Department of Solid Fuel Quality Assessment, Central Mining Institute, Plac Gwarków 1, Katowice,40-166, Poland
来源：
Journal of Analytical and Applied Pyrolysis | 2021年 / 156卷
关键词：
Additives - Learning systems - Coking properties - Forecasting - Coal industry - Physicochemical properties - Coking;
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