Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models

Tunnel squeezing prediction based on partially missing dataset and optimized machine learning models

Accurate prediction of tunnel squeezing, one of the common geological hazards during tunnel construction, is of great significance for ensuring construction safety and reducing economic losses. To achieve precise prediction of tunnel squeezing, this study constructed six reliable machine learning (M...

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Bibliographic Details
Main Authors: Peng Guan, Guangzhao Ou, Feng Liang, Weibang Luo, Qingyong Wang, Chengyuan Pei, Xuan Che
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Earth Science
Subjects:
tunnel squeezing prediction
machine learning
whale optimization algorithm
model interpretation
missing dataset
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1511413/full
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