Robust sparse Bayesian learning for broad learning with application to high-speed railway track monitoring
| Author(s): |
Chenyue Wang
(Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, China)
Jingze Gao (Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, China) Hui Li
(Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, China)
Chao Lin (China Railway Siyuan Survey and Design Group Co., Ltd, China) James L. Beck (Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA) Yong Huang
(Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, China)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, May 2022, n. 2, v. 22 |
| Page(s): | 147592172211042 |
| DOI: | 10.1177/14759217221104224 |
- About this
data sheet - Reference-ID
10680459 - Published on:
18/06/2022 - Last updated on:
21/03/2023
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