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Real-time prediction of attitude and moving trajectory in shield tunneling based optimal input parameter combination using random forest deep learning method

Crossref DOI link: https://doi.org/10.1007/s11440-023-01936-y

Published Online: 2023-07-08

Published Print: 2023-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Shen, Xiang https://orcid.org/0000-0001-9517-6372
Chen, Xiangsheng

Bao, Xiaohua

Zhou, Ruiping

Zhang, Guiyan
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (52108377)

National Natural Science Foundation of China (52090084)

National Natural Science Foundation of China (51938008)

Basic and Applied Basic Research of Guangdong Province (2023A1515010060)
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Text and Data Mining valid from 2023-07-08

Version of Record valid from 2023-07-08
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Article History

Received: 31 October 2022

Accepted: 7 May 2023

First Online: 8 July 2023

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