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Damage identification of steel bridge based on data augmentation and adaptive optimization neural network

Author(s): ORCID (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China)
(School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China)
ORCID (Centre for Infrastructural Monitoring and Protection, School of Civil and Mechanical Engineering, Curtin University, Bentley, WA, Australia)
(School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China)
(School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan, Hubei, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring
DOI: 10.1177/14759217241255042
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1177/14759217241255042.
  • About this
    data sheet
  • Reference-ID
    10797464
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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