Intelligent Prediction of Maximum Ground Settlement Induced by EPB Shield Tunneling Using Automated Machine Learning Techniques

Predicting the maximum ground subsidence (Smax) in the construction of soil pressure balanced shield tunnel, particularly on soft foundation soils, is essential for safe operation and to minimize the possible risk of damage in urban areas. Although some research has been done, this issue has not bee...

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書誌詳細

主要な著者:	Syed Mujtaba Hussaine, Linlong Mu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-12-01
シリーズ:	Mathematics
主題:	maximum surface settlement tunneling auto machine Learning feature selection shapley additive explanations (SHAP) analysis
オンライン･アクセス:	https://www.mdpi.com/2227-7390/10/24/4637
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