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Deterioration prediction of existing concrete bridges using a LSTM recurrent neural network

Author(s): (Graduate School of Engineering, Hokkaido University, Sapporo, Japan)
(Faculty of Engineering, Hokkaido University, Sapporo, Japan)
(Graduate School of Engineering, Hokkaido University, Sapporo, Japan)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering, , n. 4, v. 19
Page(s): 1-15
DOI: 10.1080/15732479.2021.1951778
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: 10.1080/15732479.2021.1951778.
  • About this
    data sheet
  • Reference-ID
    10624232
  • Published on:
    26/08/2021
  • Last updated on:
    20/02/2023
 
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