Surrogate-Based Propagation is a methodological framework within uncertainty quantification that employs a surrogate model to approximate the input-output behavior of a computationally expensive system, enabling efficient propagation of input uncertainties through the surrogate to estimate output uncertainties.
2
Publications
134
Citations
7
Authors
6
Institutions
Publications per year
2017–2026
2
Parents
Publications
2
Recent Advances in Surrogate Modeling Methods for Uncertainty Quantification and Propagation
Chong Wang, Xin Qiang, Menghui Xu et al. · Symmetry · 2022 · 123 citations · Full text
Computing, Computational Engineering, Systems Engineering +14
1–4 of 2
Authors
7
- XQ
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- EE
1
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- MX
1
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- CW
1
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- TW
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1–5 of 7
Institutions
6
Wright-Patterson Air Force Base
Wright-Patterson AFB, United States
1 h-index
2 publications
22 citations
Technische Universität Dresden
Dresden, Germany
1 h-index
1 publications
123 citations
Wright State University
Dayton, United States
1 h-index
1 publications
11 citations
Beihang University
Beijing, China
1 h-index
2 publications
246 citations
United States Air Force Research Laboratory
Wright-Patterson AFB, United States
1 h-index
2 publications
22 citations
Ningbo University
Ningbo, China
1 h-index
1 publications
123 citations
Hunan University
Changsha, China
1 publications
16 citations
Henan University of Technology
Zhengzhou, China
1 publications
16 citations
1–8 of 6
Venues
- Symmetry
1 publications · 123 citations
1
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- AIAA Journal
1 publications · 11 citations
1
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- Applied Mathematical Modelling
1 publications · 16 citations
- Statistics and Computing
1 publications · 18 citations
1–4