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

Advertisement

Deep learning-based axial capacity prediction for cold-formed steel channel sections using Deep Belief Network

Author(s): ORCID
ORCID

ORCID


Medium: journal article
Language(s): English
Published in: Structures, , v. 33
Page(s): 2792-2802
DOI: 10.1016/j.istruc.2021.05.096
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.istruc.2021.05.096.
  • About this
    data sheet
  • Reference-ID
    10613045
  • Published on:
    09/07/2021
  • Last updated on:
    09/07/2021
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine