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Bridge temperature prediction method based on long short-term memory neural networks and shared meteorological data

Author(s): ORCID (School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China)
(School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China)
(School of Civil Engineering and Transportation, South China University of Technology, Guangzhou, China)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 8, v. 27
Page(s): 1349-1360
DOI: 10.1177/13694332241247918
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: 10.1177/13694332241247918.
  • About this
    data sheet
  • Reference-ID
    10770281
  • Published on:
    29/04/2024
  • Last updated on:
    20/09/2024
 
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