A new uncertainty propagation method considering multimodal probability density functions-Reference-Cited by-同舟云学术

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A new uncertainty propagation method considering multimodal probability density functions

Published:2019-06-10 Issue:5 Volume:60 Page:1983-1999
ISSN:1615-147X
Container-title:Structural and Multidisciplinary Optimization
language:en
Short-container-title:Struct Multidisc Optim

Author:

Zhang Z.^ORCID,Wang J.,Jiang C.,Huang Z. L.

Funder

China National Funds for Distinguished Young Scientists

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Graphics and Computer-Aided Design,Computer Science Applications,Control and Systems Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s00158-019-02301-y.pdf

Reference53 articles.

1. Amirinia G, Kamranzad B, Mafi S (2017) Wind and wave energy potential in southern Caspian Sea using uncertainty analysis. Energy 120:332–345

2. Augusti G, Baratta A, Casciati F (1984) Probabilistic methods in structural engineering. Chapman and Hall

3. Balakrishnan S, Wainwright MJ, Yu B (2017) Statistical guarantees for the EM algorithm: from population to sample-based analysis. Ann Stat 45(1):77–120

4. Ballaben JS, Sampaio R, Rosales MB (2017) Uncertainty quantification in the dynamics of a guyed mast subjected to wind load. Eng Struct 132:456–470

5. Ban Z, Liu J, Cao L (2018) Superpixel segmentation using Gaussian mixture model. IEEE Trans Image Process 27(8):4105–4117

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