Multifidelity Surrogate Based on Single Linear Regression

Multifidelity surrogates (MFS) combine low-fidelity models with few high-fidelity samples to infer the response of the high-fidelity model for design optimization or uncertainty quantification. Most publications in MFS focus on Bayesian frameworks based on Gaussian process. Other types of surrogates...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	AIAA journal 2018-12, Vol.56 (12), p.4944-4952
Hauptverfasser:	Zhang, Yiming, Kim, Nam H, Park, Chanyoung, Haftka, Raphael T
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Basis functions Bayesian analysis Computer simulation Design optimization Engineering Fluidized beds Gaussian process Kriging interpolation Regression Regression analysis Uncertainty
Online-Zugang:	Volltext
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