Comprehensive review of machine learning in geotechnical reliability analysis: Algorithms, applications and further challenges

Geotechnical reliability analysis provides a novel way to rationally take the underlying geotechnical uncertainties into account and evaluate the stability of geotechnical structures by failure probability (or equivalently, reliability index) from a probabilistic perspective, which has gained great...

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Vydané v:	Applied soft computing Ročník 136; s. 110066
Hlavní autori:	Zhang, Wengang, Gu, Xin, Hong, Li, Han, Liang, Wang, Lin
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 01.03.2023
Predmet:	Geotechnical engineering Machine learning Reliability analysis Uncertainty ANN CNN Uncertainty BF RLEM RV ELM SLFN RVM GPR Geotechnical engineering SVM FS SVR BPNN 2D LS-SVM XGBoost Pf RBF Reliability analysis GA LSF ML AI CSRSM PSO RSM FEM 3D PCE BCS RF MARS ARVM ASVM Machine learning RFEM GCV MCS
ISSN:	1568-4946, 1872-9681
On-line prístup:	Získať plný text
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