Research on early warning model of coal spontaneous combustion based on interpretability

Research on early warning model of coal spontaneous combustion based on interpretability

Abstract Predicting the temperature of the coal spontaneous combustion (CSC) is essential for preventing and managing coal mine fires. In this paper, a Rough Set-Stacking-SHapley Additive Explanations (RS-Stacking-SHAP) prediction model of CSC based on grid search optimized is proposed. Compared wit...

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Bibliographic Details
Main Authors: Huimin Zhao, Xu Zhou, Jingjing Han, Yixuan Liu, Zhe Liu, Shishuo Wang
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Coal spontaneous combustion
Rough set algorithm
Stacking integration architecture
SHAP
Feature interaction interpretation
Online Access:https://doi.org/10.1038/s41598-025-01154-4
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https://doi.org/10.1038/s41598-025-01154-4

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