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Unsupervised damage assessment under varying ambient temperature based on an adjusted artificial neural network and new multivariate covariance-based distances

Author(s): (Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran)
ORCID (Department of Civil Engineering, Faculty of Engineering, Ferdowsi University of Mashhad, Mashhad, Razavi Khorasan, Iran)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 6, v. 23
Page(s): 3814-3831
DOI: 10.1177/14759217231225402
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: 10.1177/14759217231225402.
  • About this
    data sheet
  • Reference-ID
    10775591
  • Published on:
    29/04/2024
  • Last updated on:
    10/11/2024
 
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