Surrogate Error Estimation
Surrogate Error Estimation is a quantitative method used in surrogate-based optimization to assess the discrepancy between a surrogate model’s predictions and the true response of the underlying system or high-fidelity model, thereby distinguishing it from other surrogate model evaluation techniques by focusing specifically on error quantification for reliability and accuracy improvement.
44
Publications
3.8K
Citations
114
Authors
75
Institutions
Publications per year
2017–2026
17
Parents
44
Verification of Codes and Calculations
Patrick J. Roache · AIAA Journal · 1998 · 629 citations
Bernard Rosner, Donna Spiegelman, Walter C. Willett · American Journal of Epidemiology · 1990 · 465 citations
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University at Buffalo, State University of New York, United States
3 publications · 41 citations
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3
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2
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75
University of Florida
Gainesville, United States
4 h-index
8 publications
988 citations
Syracuse University
Syracuse, United States
3 h-index
5 publications
71 citations
Fred Hutch Cancer Center
Seattle, United States
3 h-index
3 publications
211 citations
The University of Texas at Austin
Austin, United States
3 h-index
5 publications
216 citations
Mississippi State University
Starkville, United States
2 h-index
4 publications
54 citations

Northwestern Polytechnical University
Xi'an, China
2 h-index
4 publications
564 citations
University of Michigan
Ann Arbor, United States
2 h-index
2 publications
37 citations
Universidade Federal de Uberlândia
Uberlândia, Brazil
2 h-index
4 publications
476 citations
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4 publications · 1.2K citations
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3 publications · 486 citations
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2 publications · 108 citations
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2 publications · 200 citations
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2 publications · 335 citations
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