Predicting existing tunnel deformation from adjacent foundation pit construction using hybrid machine learning

To accurately predict the existing tunnel deformation from adjacent foundation pit construction (AFPC), a hybrid prediction framework based on random forest recursive feature elimination and the Bayesian optimization natural gradient boosting algorithm (RF-RFE-BO-NGBoost) is presented in this paper....

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Bibliographic Details

Published in:	Automation in construction Vol. 165; p. 105516
Main Authors:	Wu, Xianguo, Feng, Zongbao, Liu, Jun, Chen, Hongyu, Liu, Yang
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.09.2024
Subjects:	Adjacent foundation pit construction Existing tunnel Feature selection Natural gradient boosting algorithm Random forest recursive feature elimination Shapley additive ExPlanations Existing tunnel Random forest recursive feature elimination Feature selection Natural gradient boosting algorithm Adjacent foundation pit construction Shapley additive ExPlanations
ISSN:	0926-5805
Online Access:	Get full text
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