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A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory

Author(s):


Medium: journal article
Language(s): English
Published in: Journal of Wind Engineering and Industrial Aerodynamics, , v. 209
Page(s): 104484
DOI: 10.1016/j.jweia.2020.104484
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: 10.1016/j.jweia.2020.104484.
  • About this
    data sheet
  • Reference-ID
    10535335
  • Published on:
    01/01/2021
  • Last updated on:
    19/02/2021
 
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