PSO-based Machine Learning Methods for Predicting Ground Surface Displacement Induced by Shallow Underground Excavation Method
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-023-0121-1.pdf
Reference55 articles.
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2. Chen RP, Zhang P, Kang X, Zhong ZQ, Liu Y, Wu HN (2019) Prediction of maximum surface settlement caused by EPB shield tunneling with ANN methods. Soils and Foundations 59(2):284–295, DOI: https://doi.org/10.1016/j.sandf.2018.11.005
3. Fang Q, Liu X, Zhang DL, Lou HC (2017) Shallow tunnel construction with irregular surface topography using cross diaphragm method. Tunnelling and Underground Space Technology 68:11–21, DOI: https://doi.org/10.1016/j.tust.2017.05.015
4. Fang Q, Zhang DL, Wong LNY (2012) Shallow tunnelling method (STM) for subway station construction in soft ground. Tunnelling and Underground Space Technology 29:10–30, DOI: https://doi.org/10.1016/j.tust.2011.12.007
5. Feng XD, Jimenez R (2015) Predicting tunnel squeezing with incomplete data using Bayesian networks. Engineering Geology 195:214–224, DOI: https://doi.org/10.1016/j.enggeo.2015.06.017
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