Prediction of spontaneous combustion temperature of coal in goaf based on multi-parameter fusion

To improve the prediction accuracy of the spontaneous combustion temperature of coal in goafs and accurately identify the combustion risks during the heating stage of the coal body, a prediction model (PLO-GBDT) for the spontaneous combustion temperature of coal in mined-out areas based on multi-par...

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Autor principal:	Zhibin MENG
Format:	Artigo
Idioma:	Chinês
Publicat:	Editorial Office of Safety in Coal Mines 2025-12-01
Col·lecció:	Meikuang Anquan
Matèries:	coal spontaneous combustion indicator gas multi-parameter fusion feature importance gradient boosting decision tree (gbdt) polar light optimization (plo) spontaneous combustion prediction model
Accés en línia:	https://www.mkaqzz.com/cn/article/doi/10.13347/j.cnki.mkaq.20250802
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