| contributor author | Gong, Xiangrui | |
| contributor author | Zhou, Yicheng | |
| contributor author | Zhang, Xiaobo | |
| date accessioned | 2026-08-20T10:47:51Z | |
| date available | 2026-08-20T10:47:51Z | |
| date copyright | 2025/08/13 | |
| date issued | 2025 | |
| identifier other | AJRUA6.RUENG-1538.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311270 | |
| description abstract | AbstractThe computational costs of surrogate model–assisted uncertainty quantification methods
become intractable for high-dimensional problems. However, many high-dimensional problems
are intrinsically low-dimensional if the output response exhibits some ... | |
| publisher | American Society of Civil Engineers | |
| title | Active Subspace–Enhanced Support Vector Regression Model for High-Dimensional Probabilistic Uncertainty Propagation | |
| type | Journal Article | |
| journal volume | 11 | |
| journal issue | 4 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1538 | |
| journal fristpage | 04025070-1 | |
| journal lastpage | 04025070-11 | |
| page | 11 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2025:;Volume ( 011 ):;issue: 004 | |
| contenttype | Fulltext | |
