Open AccessMixed Variable Gaussian Process-Based Surrogate Modeling Techniques: Application to Aerospace Design
Author(s) -
Julien Pelamatti,
Loïc Brevault,
Mathieu Balesdent,
ElGhazali Talbi,
Yannick Guérin
Publication year - 2021
Publication title -
journal of aerospace information systems
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 33
ISSN - 2327-3097
DOI - 10.2514/1.i010965
Subject(s) - gaussian process , aerospace , computer science , covariance , formalism (music) , gaussian , surrogate model , kriging , engineering design process , mathematical optimization , engineering , mathematics , aerospace engineering , machine learning , mechanical engineering , statistics , physics , quantum mechanics , art , musical , visual arts
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom