Data-driven sparse polynomial chaos expansion for models with dependent inputs
Polynomial chaos expansions (PCEs) have been used in many real-world engineering applications to quantify how the uncertainty of an output is propagated from inputs by decomposing the output in terms of polynomials of the inputs. PCEs for models with independent inputs have been extensively explored...
שמור ב:
| Principais autores: | , |
|---|---|
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
KeAi Communications Co., Ltd.
2023-12-01
|
| סדרה: | Journal of Safety Science and Resilience |
| נושאים: | |
| גישה מקוונת: | http://www.sciencedirect.com/science/article/pii/S2666449623000415 |
| תגים: |
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
|