Comparison study on the accuracy of metamodeling technique for non-convex functions
By Byeongdo Kim, Yongbin Lee, Dong-Hoon Choi. 2009
99 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d4a294220eeb71bc4a14adea858bea1ddd08240d
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In Computational Theory and Mathematics
In Management Science and Operations Research
In Statistics and Probability
Citations in the corpus
- A comparative study of metamodeling methods considering sample quality merits (2010, methodology): “In the comparative study of metamodeling methods, however, only limited categories such as “high” and “low” were used (Jin et al. 2001; Mullur and Messac 2006; Kim et al. 2009 ).”
- Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment (2017, methodology): “Before using a particular metamodelling technique it is essential to check it rigorously for its quality of fitting and prediction capability [121-123].”
- Stochastic natural frequency of composite conical shells (2015, background): “Many comparative studies have been performed over the years to guide the selection of surrogate model types [37–39].”