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Hybrid structural analysis integrating physical model and continuous‐time state‐space neural network model

Author(s): (Department of Civil and Environmental Engineering, National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) The Hong Kong Polytechnic University Hong Kong China)
(Department of Civil and Environmental Engineering, National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) The Hong Kong Polytechnic University Hong Kong China)
(Department of Civil and Environmental Engineering, National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) The Hong Kong Polytechnic University Hong Kong China)
(Department of Civil and Environmental Engineering, National Rail Transit Electrification and Automation Engineering Technology Research Center (Hong Kong Branch) The Hong Kong Polytechnic University Hong Kong China)
(School of Civil Engineering, China‐Pakistan Belt and Road Joint Laboratory on Smart Disaster Prevention of Major Infrastructures Southeast University Nanjing China)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering
DOI: 10.1111/mice.13282
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: 10.1111/mice.13282.
  • About this
    data sheet
  • Reference-ID
    10784676
  • Published on:
    20/06/2024
  • Last updated on:
    20/06/2024
 
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