Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter

Bayesian updating of model parameters using adaptive Gaussian process regression and particle filter

Bayesian model updating provides a powerful framework for updating and uncertainty quantification of models by making use of observations, following probability rules in the treatment of uncertainty. Particle filter (PF) and Bayesian Updating with Structural Reliability method (BUS) have been develo...

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書目詳細資料
Main Authors:	Yoshida, Ikumasa, Nakamura, Tomoka, Au, Siu-Kui
其他作者:	School of Civil and Environmental Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Civil engineering::Geotechnical Gaussian Process Regression Active Learning Reliability Surrogate Model Meta Modeling
在線閱讀:	https://hdl.handle.net/10356/164713
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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