Data Sheet 1_Tunnel water inflow prediction using explainable machine learning and augmented partially missing dataset.zip
<p>Accurate prediction of water inrush volumes is essential for safeguarding tunnel construction operations. This study proposes a method for predicting tunnel water inrush volumes, leveraging the eXtreme Gradient Boosting (XGBoost) model optimized with Bayesian techniques. To maximize the uti...
محفوظ في:
| المؤلف الرئيسي: | Shengdong Ju (21178127) (author) |
|---|---|
| مؤلفون آخرون: | Guangzhao Ou (21178130) (author), Tao Peng (81319) (author), Yanning Wang (5143841) (author), Quanlin Song (21178133) (author), Peng Guan (102746) (author) |
| منشور في: |
2025
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| الموضوعات: | |
| الوسوم: |
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مواد مشابهة
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Table 2_Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization.docx
حسب: Wanrui Hu (21626747)
منشور في: (2025) -
Table 1_Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization.docx
حسب: Wanrui Hu (21626747)
منشور في: (2025) -
Table 3_Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization.docx
حسب: Wanrui Hu (21626747)
منشور في: (2025) -
Table 6_Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization.docx
حسب: Wanrui Hu (21626747)
منشور في: (2025) -
Table 5_Interpretable machine learning approach for TBM tunnel crown convergence prediction with Bayesian optimization.docx
حسب: Wanrui Hu (21626747)
منشور في: (2025)