An interpretable rockburst prediction model based on SSA-CatBoost

Rockburst is a common geological hazard in deep geotechnical engineering. In this study, the categorical boosting (CatBoost) was used to classify rockburst intensity, and the weight and threshold parameters of CatBoost was optimized by the sparrow search algorithm (SSA). Then, a database containing...

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Bibliographic Details

Published in:	Tunnelling and underground space technology Vol. 164; p. 106820
Main Authors:	Kong, Weiqiu, Hou, Peng, Liang, Xin, Gao, Feng, Liu, Quansheng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.10.2025
Subjects:	Intelligent algorithms Rockburst SHAP SSA-CatBoost model Database Rockburst SHAP SSA-CatBoost model Intelligent algorithms
ISSN:	0886-7798
Online Access:	Get full text
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