Prediction of the Amount of Soil Discharged by an Earth Pressure Balanced Shield Machine Based on Feature Engineering
Author:
Publisher
Springer Science and Business Media LLC
Subject
Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12205-021-0378-1.pdf
Reference69 articles.
1. Ákos T, Gong Q, Zhao J (2013) Case studies of TBM tunnelling performance in rock-soil interface mixed ground. Tunnelling & Underground Space Technology Incorporating Trenchless Technology Research 38(9):140–150, DOI: https://doi.org/10.1016/j.tust.2013.06.001
2. Anagnostou G, Kovári K (1996) Face stability conditions with earth-pressure-balanced shields. Tunnelling and Underground Space Technology 11(2):165–173, DOI: https://doi.org/10.1016/0886-7798(96)00017-X
3. Anitescu C, Atroshchenko E, Alajlan N, Rabczuk T (2019) Artificial neural network methods for the solution of second order boundary value problems. Computers, Materials and Continua 59(1):345–359
4. Bouayad D, Emeriault F (2017) Modeling the relationship between ground surface settlements induced by shield tunneling and the operational and geological parameters based on the hybrid PCA/ANFIS method. Tunnelling and Underground Space Technology 68: 142–152, DOI: https://doi.org/10.1016/j.tust.2017.03.011
5. Brereton RG, Lloyd GR (2010) Support vector machines for classification and regression. Analyst 135(2):230–267
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3. Prediction and Feature Importance of Earth Pressure in Shields Using Machine Learning Algorithms;KSCE Journal of Civil Engineering;2022-11-19
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