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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Bibliographic Details

Published in:	Fuel (Guildford) Vol. 403; p. 136065
Main Authors:	Qi, Hongning, Zhou, Jian, Khandelwal, Manoj, Onifade, Moshood, Lawal, Abiodun Ismail, Li, Chuanqi, Bada, Samson Oluwaseyi, Genc, Bekir
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2026
Subjects:	Abrasive index Artificial intelligence Coal Metaheuristic optimization algorithms Supervised learning Metaheuristic optimization algorithms Supervised learning Artificial intelligence Abrasive index Coal
ISSN:	0016-2361
Online Access:	Get full text
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