| contributor author | Yang, Jia-Hua | |
| contributor author | Liu, Yi | |
| contributor author | Lam, Heung-Fai | |
| contributor author | Tan, Sui | |
| date accessioned | 2026-08-20T21:18:29Z | |
| date available | 2026-08-20T21:18:29Z | |
| date copyright | 2025/11/25 | |
| date issued | 2026 | |
| identifier other | AJRUA6.RUENG-1710.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314264 | |
| description abstract | AbstractIn this work, neural networks (NNs) are used for structural identification by constructing
the relationship between experimental data and structural properties. One problem
is how to choose an appropriate NN architecture. It is not ideal to ... | |
| publisher | American Society of Civil Engineers | |
| title | Structural Identification by Bayesian Neural Network with the Most Probable Architecture | |
| type | Journal Article | |
| journal volume | 12 | |
| journal issue | 1 | |
| journal title | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering | |
| identifier doi | 10.1061/AJRUA6.RUENG-1710 | |
| journal fristpage | 04025105-1 | |
| journal lastpage | 04025105-14 | |
| page | 14 | |
| tree | ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001 | |
| contenttype | Fulltext | |
