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1 Ergebnisse
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Reliability analysis based on active learning Kriging model..:
, In:
12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)
,
Cheng, X.
;
Wang, T.
;
Deng, J.
. - p. None , 2022
Link:
https://doi.org/10.1049/icp.2022.2860
RT T1 <cTitle>12th International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE 2022)</cTitle>: T1 <Title>Reliability analysis based on active learning Kriging model for problems involving multimodally distributed random variables</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10110701&Exemplar=1&LAN=DE A1 Cheng, X. A1 Wang, T. A1 Deng, J. A1 Yang, X. YR 2022 K1 mixture models K1 reliability theory K1 sampling methods K1 statistical analysis K1 statistical distributions K1 active learning kriging model K1 AK-RS K1 ALK K1 CDF K1 error-based stopping criterion K1 ESC K1 inverse cumulative distribution function K1 mixture model K1 MM K1 multimodal probability distributions K1 multimodally distributed random variables K1 PDFs K1 probability density functions K1 rejection sampling K1 reliability analysis SP None LK http://dx.doi.org/https://doi.org/10.1049/icp.2022.2860 DO https://doi.org/10.1049/icp.2022.2860 SF ELIB - SuUB Bremen
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