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Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation

Yuxin Chen Mohammad Hossein Kadkhodaei Jian Zhou

地下空间（英文）2025，Vol.24Issue(5)：60-78,19.

地下空间（英文）2025，Vol.24Issue(5)：60-78,19.DOI:10.1016/j.undsp.2025.03.006

Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation

Yuxin Chen ¹Mohammad Hossein Kadkhodaei ²Jian Zhou¹

作者信息

1. School of Resources and Safety Engineering,Central South University,Changsha 410083,China
2. Isfahan University of Technology,Department of Mining Engineering,Isfahan 8415683111,Iran
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摘要

关键词

Ground settlement/Hyperparameter optimization/NGBoost/Estimation/Interpretable machine learning

Key words

Ground settlement/Hyperparameter optimization/NGBoost/Estimation/Interpretable machine learning

引用本文复制引用

Yuxin Chen,Mohammad Hossein Kadkhodaei,Jian Zhou..Development of the Optuna-NGBoost-SHAP model for estimating ground settlement during tunnel excavation[J].地下空间（英文）,2025,24(5):60-78,19.

基金项目

This research is partially supported by the National Natural Science Foundation of China(Grant Nos.42177164 and 52474121).The authors also wish to thank Dr.Zhang Pin for generously providing the database used in this study. （Grant Nos.42177164 and 52474121）

地下空间（英文）

ISSN：2096-2754

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