Open AccessEmpirical Assessment of Deep Gaussian Process Surrogate Models for Engineering Problems
Author(s) -
Dushhyanth Rajaram,
Tejas G. Puranik,
S. Ashwin Renganathan,
Woongje Sung,
Olivia J. Pi Fischer,
Dimitri N. Mavris,
Arun Ramamurthy
Publication year - 2020
Publication title -
journal of aircraft
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.64
H-Index - 94
eISSN - 1533-3868
pISSN - 0021-8669
DOI - 10.2514/1.c036026
Subject(s) - gaussian process , computer science , robustness (evolution) , gaussian , uncertainty quantification , hyperparameter , curse of dimensionality , surrogate model , kriging , machine learning , gaussian function , artificial intelligence , mathematical optimization , algorithm , mathematics , biochemistry , chemistry , physics , quantum mechanics , gene
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