Composite Kernel Functions for Surrogate Modeling using Recursive Multi-Fidelity Kriging
Author:
Affiliation:
1. Institut Teknologi Bandung
2. Universita degli Studi di Trieste
3. Tohoku Daigaku
Publisher
American Institute of Aeronautics and Astronautics
Link
https://arc.aiaa.org/doi/pdf/10.2514/6.2022-0506
Reference21 articles.
1. The Design and Analysis of Computer Experiments
2. Bayesian calibration of computer models
3. RECURSIVE CO-KRIGING MODEL FOR DESIGN OF COMPUTER EXPERIMENTS WITH MULTIPLE LEVELS OF FIDELITY
4. Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling
5. Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling
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