A novel data-driven bridge monitoring data prediction framework using improved intelligent optimization-assisted deep learning
| Author(s): |
Zhenwei Zhou
(School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang, People’s Republic of China)
Kaiqing Ding (School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang, People’s Republic of China) Guangcai Zhang (Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing, People’s Republic of China) Bitao Wu
(School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang, People’s Republic of China)
Chunfeng Wan
(Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing, People’s Republic of China)
Yangchen Deng (School of Civil Engineering and Architecture, East China Jiao Tong University, Nanchang, People’s Republic of China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241305598 |
- About this
data sheet - Reference-ID
10812111 - Published on:
17/01/2025 - Last updated on:
17/01/2025
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