An optimized machine learning framework for prediction of coal abrasive index: Leveraging supervised learning, metaheuristic optimization, and interpretability analysis

•The study compares 18 supervised learning models for Abrasive Index (AI) prediction using 129 coal samples from South Africa's Witbank Coalfield.•Eight metaheuristic optimization algorithms (MOAs) are used to optimize hyperparameters and improve model predictive performance.•Uncertainty and fe...

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Vydané v:	Fuel (Guildford) Ročník 403; s. 136065
Hlavní autori:	Qi, Hongning, Zhou, Jian, Khandelwal, Manoj, Onifade, Moshood, Lawal, Abiodun Ismail, Li, Chuanqi, Bada, Samson Oluwaseyi, Genc, Bekir
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.01.2026
Predmet:	Abrasive index Artificial intelligence Coal Metaheuristic optimization algorithms Supervised learning Metaheuristic optimization algorithms Supervised learning Artificial intelligence Abrasive index Coal
ISSN:	0016-2361
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