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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Veröffentlicht in:	Applied soft computing Jg. 136; S. 110066
Hauptverfasser:	Zhang, Wengang, Gu, Xin, Hong, Li, Han, Liang, Wang, Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.03.2023
Schlagworte:	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
Online-Zugang:	Volltext
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