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Artificial neural network-based multiple-input multiple-output metamodel for prediction of design parameters for a high-speed rail viaduct

Author(s): (Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, India)
(Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, India)
(Department of Mechanical Engineering, Visvesvaraya National Institute of Technology, Nagpur, India)
(Department of Civil Engineering, Indian Institute of Technology Delhi, Hauz Khas, India)
(James Watt School of Engineering, The University of Glasgow, Glasgow, UK)
Medium: journal article
Language(s): English
Published in: Structure and Infrastructure Engineering
Page(s): 1-19
DOI: 10.1080/15732479.2023.2188599
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: 10.1080/15732479.2023.2188599.
  • About this
    data sheet
  • Reference-ID
    10725359
  • Published on:
    30/05/2023
  • Last updated on:
    02/09/2023
 
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