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A data-driven framework for conceptual cost estimation of infrastructure projects using XGBoost and Bayesian optimization

Author(s): (Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, China)
(Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, China)
(Department of Construction and Real Estate, School of Civil Engineering, Southeast University, Nanjing, China)
(Department of Civil, Environmental and Infrastructure Engineering, George Mason University, Fairfax, VA, USA)
(Department of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK)
Medium: journal article
Language(s): English
Published in: Journal of Asian Architecture and Building Engineering
Page(s): 1-24
DOI: 10.1080/13467581.2023.2294871
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: 10.1080/13467581.2023.2294871.
  • About this
    data sheet
  • Reference-ID
    10754491
  • Published on:
    14/01/2024
  • Last updated on:
    14/01/2024
 
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