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Efficiency and explainability of design‐oriented machine learning models to estimate seismic response, fragility, and loss of a steel building inventory

Author(s): ORCID (Department of Civil and Environmental Engineering Utah State University Logan Utah USA)
(Department of Civil and Environmental Engineering Utah State University Logan Utah USA)
Medium: journal article
Language(s): English
Published in: Earthquake Engineering and Structural Dynamics
Page(s): 618-647
DOI: 10.1002/eqe.4273
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: 10.1002/eqe.4273.
  • About this
    data sheet
  • Reference-ID
    10808414
  • Published on:
    17/01/2025
  • Last updated on:
    17/01/2025
 
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