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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Veröffentlicht in:	Fuel (Guildford) Jg. 403; S. 136065
Hauptverfasser:	Qi, Hongning, Zhou, Jian, Khandelwal, Manoj, Onifade, Moshood, Lawal, Abiodun Ismail, Li, Chuanqi, Bada, Samson Oluwaseyi, Genc, Bekir
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.01.2026
Schlagworte:	Abrasive index Artificial intelligence Coal Metaheuristic optimization algorithms Supervised learning Metaheuristic optimization algorithms Supervised learning Artificial intelligence Abrasive index Coal
ISSN:	0016-2361
Online-Zugang:	Volltext
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