Data-driven real-time prediction for attitude and position of super-large diameter shield using a hybrid deep learning approach: Fid-Bau Portal

Data-driven real-time prediction for attitude and position of super-large diameter shield using a hybrid deep learning approach

Fu, Yanbin / Chen, Lei / Xiong, Hao / Chen, Xiangsheng / Lu, Andian / Zeng, Yi / Wang, Beiling

Zugriff

Download

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Data-driven real-time prediction for attitude and position of super-large diameter shield using a hybrid deep learning approach

Fu, Yanbin / Chen, Lei / Xiong, Hao / Chen, Xiangsheng / Lu, Andian / Zeng, Yi / Wang, Beiling

Data-driven real-time prediction for attitude and position of super-large diameter shield using a hybrid deep learning approach

Fu, Yanbin / Chen, Lei / Xiong, Hao / Chen, Xiangsheng / Lu, Andian / Zeng, Yi / Wang, Beiling

Zugriff

Download

Seitennavigation

Dokumentinformationen

Ähnliche Titel

Exportieren, teilen und zitieren

Dokumentinformationen

Titel:

Data-driven real-time prediction for attitude and position of super-large diameter shield using a hybrid deep learning approach

Weitere Titelangaben:

Underground Space

Beteiligte:

Fu, Yanbin (Autor:in) / Chen, Lei (Autor:in) / Xiong, Hao (Autor:in) / Chen, Xiangsheng (Autor:in) / Lu, Andian (Autor:in) / Zeng, Yi (Autor:in) / Wang, Beiling (Autor:in)

Erschienen in:

Underground Space ; 15 ; 275-297

Erscheinungsdatum:

01.04.2024

ISSN:

2467-9674

DOI:

https://doi.org/10.1016/j.undsp.2023.08.014

Medientyp:

Aufsatz (Zeitschrift)

Format:

Elektronische Ressource

Sprache:

Englisch

Lizenzbestimmungen:

http://creativecommons.org/licenses/by-nc-nd/4.0/

Yanbin Fu / Lei Chen / Hao Xiong et al. | DOAJ | 2024

Freier Zugriff

Development and consideration of Chinese super-large diameter shield tunnel

Wei Qiu / Xin Dong / Linjian Su et al. | DOAJ | 2024

Freier Zugriff

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

Shen, Xiang / Chen, Xiangsheng / Bao, Xiaohua et al. | Springer Verlag | 2023

Responses of Existing Tunnel Caused by Undercrossing Super-Large Diameter Shield Tunnel

Cao, Yuyang / Xie, Xiongyao / Zhou, Biao et al. | Springer Verlag | 2023

Study on tunnel stability against uplift of super-large diameter shield tunneling

Lin, J.X. / Yang, F.Q. / Shang, T.P. et al. | British Library Conference Proceedings | 2008

Nach oben