Data-driven intelligent prediction of TBM surrounding rock and personalized evaluation of disaster-inducing factors-Reference-Cited by-同舟云学术

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Data-driven intelligent prediction of TBM surrounding rock and personalized evaluation of disaster-inducing factors

Published:2024-06 Issue: Volume:148 Page:105768
ISSN:0886-7798
Container-title:Tunnelling and Underground Space Technology
language:en
Short-container-title:Tunnelling and Underground Space Technology

Author:

Zhao Dukun,He Yueji,Chen Xin,Wang Jianye,Liu Yanyi,Zhang Qingsong,Bai Jiwen,Liu Rentai

Funder

National Natural Science Foundation of China

Ministry of Science and Technology of the People's Republic of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference46 articles.

1. A comparative study of different machine learning algorithms in predicting EPB shield behaviour: a case study at the Xi’an metro, China;Bai;Acta Geotech.,2021

2. Nomograms in oncology: more than meets the eye;Balachandran;Lancet Oncol.,2015

3. Calculation of polychotomous logistic regression parameters using individualized regressions;Begg;Biometrika,1984

4. Polytomous logistic regression analysis could be applied more often in diagnostic research;Biesheuvel;J. Clin. Epidemiol.,2008

5. The effect of EPB face pressure on TBM performance parameters in different geological formations of Istanbul;Bilgin;Tunn. Undergr. Space Technol.,2023

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