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...
Guardado en:
| Autores principales: | , , , , , |
|---|---|
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2021-08-01
|
| Colección: | Mathematics |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2227-7390/9/16/1985 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
