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Machine learning based algorithms for wind pressure prediction of high-rise buildings

Author(s): ORCID (Hunan Provincial Key Laboratory of Structures for Wind Resistance and Vibration Control, Hunan University of Science and Technology, Xiangtan, China)
(Hunan Provincial Key Laboratory of Structures for Wind Resistance and Vibration Control, Hunan University of Science and Technology, Xiangtan, China)
(Hunan Provincial Key Laboratory of Structures for Wind Resistance and Vibration Control, Hunan University of Science and Technology, Xiangtan, China)
(Hunan Provincial Key Laboratory of Green Construction and Maintenance of Bridge and Building, Changsha University of Science and Technology, Changsha, China)
ORCID (Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong)
Medium: journal article
Language(s): English
Published in: Advances in Structural Engineering, , n. 10, v. 25
Page(s): 136943322210926
DOI: 10.1177/13694332221092671
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: 10.1177/13694332221092671.
  • About this
    data sheet
  • Reference-ID
    10678365
  • Published on:
    18/06/2022
  • Last updated on:
    13/08/2022
 
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