Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1471
Title: Effects of the correlation model, the trend model, and the number of training points on the accuracy of Kriging metamodels
Authors: Acar, Erdem
143688
Keywords: accuracy
Kriging metamodel
ensemble
Issue Date: Nov-2013
Publisher: Wiley-Blackwell
Source: Acar, E. (2013). Effects of the correlation model, the trend model, and the number of training points on the accuracy of K riging metamodels. Expert Systems, 30(5), 418-428.
Abstract: This paper explores the effects of the correlation model, the trend model, and the number of training points on the accuracy of Kriging metamodels. Gaussian correlation models are found to be superior to exponential and linear correlation models. No particular trend model is found to be better than the other models. The number of training points used in constructing the Kriging metamodels is observed to change the relative performances of the trend and the correlation functions. The leave-one-out cross-validation error is found to become a better surrogate for the actual error, as the number of training points is increased. Finally, the use of an ensemble of metamodels is discussed and it is found that using an ensemble may improve the accuracy.
URI: https://doi.org/10.1111/j.1468-0394.2012.00646.x
https://hdl.handle.net/20.500.11851/1471
ISSN: 0266-4720
Appears in Collections:Makine Mühendisliği Bölümü / Department of Mechanical Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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