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Classification and regression-based convolutional neural network and long short-term memory configuration for bridge damage identification using long-term monitoring vibration data

Author(s): (School of Civil Engineering, Tianjin University, Tianjin, People’s Republic of China)
ORCID (Key Laboratory of Coast Civil Structure Safety (Ministry of Education), School of Civil Engineering, Tianjin University, Tianjin, People’s Republic of China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 22
Page(s): 147592172311618
DOI: 10.1177/14759217231161811
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: 10.1177/14759217231161811.
  • About this
    data sheet
  • Reference-ID
    10730088
  • Published on:
    30/05/2023
  • Last updated on:
    14/01/2024
 
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