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Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest

Yaxi Shen Shunchuan Wu Yongbing Wang Jiaxin Wang Zhiquan Yang

地下空间（英文）2025，Vol.21Issue(1)：198-214,17.

地下空间（英文）2025，Vol.21Issue(1)：198-214,17.DOI:10.1016/j.undsp.2024.09.002

Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest

Yaxi Shen ¹Shunchuan Wu ²Yongbing Wang ³Jiaxin Wang ⁴Zhiquan Yang⁵

作者信息

1. Department of Civil Engineering,Tianjin University,Tianjin 300072,China||Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,China
2. Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,China||Faculty of Land Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China
3. Huize Mining Company,Yunnan Chihong Zinc and Germanium Co.,Ltd.,Qujing 655000,China
4. Faculty of Land Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China
5. Faculty of Public Safety and Emergency Management,Kunming University of Science and Technology,Kunming 650093,China
折叠

摘要

关键词

Rockburst intensity/Isolation forest/Synthetic minority oversampling/Random forest/Interpretable model

Key words

Rockburst intensity/Isolation forest/Synthetic minority oversampling/Random forest/Interpretable model

引用本文复制引用

Yaxi Shen,Shunchuan Wu,Yongbing Wang,Jiaxin Wang,Zhiquan Yang..Interpretable model for rockburst intensity prediction based on Shapley values-based Optuna-random forest[J].地下空间（英文）,2025,21(1):198-214,17.

基金项目

This work was financially supported by the National Natural Science Foundation of China(Grant No.51934003),the Yunnan Major Scientific and Technological Projects(Grant No.202202AG050014)and the Yunnan Innovation Team(Grant No.202105AE160023). （Grant No.51934003）

地下空间（英文）

ISSN：2096-2754

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