Exploiting Supervised Principal Component Analysis for Efficient High-Dimensional Kriging Modeling
High-dimensional Kriging modeling is widely used in engineering and scientific fields. However, as the input dimensionality increases, computational complexity rises dramatically, and the number of required training samples grows exponentially. To address these challenges, this paper proposes a nove...
I tiakina i:
| Ngā kaituhi matua: | , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Wiley
2026-01-01
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| Rangatū: | International Journal of Mathematics and Mathematical Sciences |
| Urunga tuihono: | http://dx.doi.org/10.1155/ijmm/6147880 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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