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Evaluating the accuracy of predicted bridge condition using machine learning: the role of condition history

Author(s): (Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran)
(Department of Civil Engineering, K.N. Toosi University of Technology, Tehran, Iran)
(Department of Civil and Environmental Engineering, University of Delaware and School of Civil Engineering, University of New South Wales, , DE,)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering
Page(s): 1-13
DOI: 10.1080/15732479.2023.2274878
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: 10.1080/15732479.2023.2274878.
  • About this
    data sheet
  • Reference-ID
    10749297
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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