An Improved High-Dimensional Kriging Surrogate Modeling Method through Principal Component Dimension Reduction

The Kriging surrogate model in complex simulation problems uses as few expensive objectives as possible to establish a global or local approximate interpolation. However, due to the inversion of the covariance correlation matrix and the solving of Kriging-related parameters, the Kriging approximatio...

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Bibliografski detalji

Glavni autori:	Yaohui Li, Junjun Shi, Zhifeng Yin, Jingfang Shen, Yizhong Wu, Shuting Wang
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-08-01
Serija:	Mathematics
Teme:	surrogate model Kriging high-dimensional problems principal component dimension reduction
Online pristup:	https://www.mdpi.com/2227-7390/9/16/1985
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