0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Comparison of neural networks based on accuracy and robustness in identifying impact location for structural health monitoring applications

Author(s): ORCID (Advanced Material Research Center, Technology Innovation Institute, Abu Dhabi, UAE)
(Advanced Material Research Center, Technology Innovation Institute, Abu Dhabi, UAE)
(Advanced Material Research Center, Technology Innovation Institute, Abu Dhabi, UAE)
(Advanced Material Research Center, Technology Innovation Institute, Abu Dhabi, UAE)
(Advanced Material Research Center, Technology Innovation Institute, Abu Dhabi, UAE)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 1, v. 22
Page(s): 147592172210985
DOI: 10.1177/14759217221098569
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: 10.1177/14759217221098569.
  • About this
    data sheet
  • Reference-ID
    10680477
  • Published on:
    18/06/2022
  • Last updated on:
    20/02/2023
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine