A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China-Reference-Cited by-同舟云学术

A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China

Published:2021-10-21 Issue:12 Volume:16 Page:4061-4080
ISSN:1861-1125
Container-title:Acta Geotechnica
language:en
Short-container-title:Acta Geotech.

Author:

Bai Xue-Dong,Cheng Wen-Chieh^ORCID,Li Ge

Funder

Education Department of Shaanxi Province

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Geotechnical Engineering and Engineering Geology

Link

https://link.springer.com/content/pdf/10.1007/s11440-021-01383-7.pdf

Reference60 articles.

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3. Aydan Ö, Hasanpour R (2019) Estimation of ground pressures on a shielded TBM in tunneling through squeezing ground and its possibility of jamming. Bull Eng Geol Environ 78:5237–5251

4. Bai XD, Cheng WC, Sheil BB, Li G (2021) Pipejacking clogging detection in soft alluvial deposits using machine learning algorithms. Tunn Undergr Space Technol 113:103908

5. Bai XD, Cheng WC, Ong DEL, Li G (2021) Evaluation of geological conditions and clogging of tunneling using machine learning. Geomech Eng 25(1):59–73

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