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...
Сохранить в:
| Главные авторы: | , , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
MDPI AG
2021-08-01
|
| Серии: | Mathematics |
| Предметы: | |
| Online-ссылка: | https://www.mdpi.com/2227-7390/9/16/1985 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|