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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Vydané v:	Automation in construction Ročník 165; s. 105516
Hlavní autori:	Wu, Xianguo, Feng, Zongbao, Liu, Jun, Chen, Hongyu, Liu, Yang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.09.2024
Predmet:	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
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