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Fundamental Frequency Prediction of Historic Masonry Towers Based on Artificial Neural Networks

Author(s): ORCID (Faculty of Civil Engineering, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam)
(Construction Investment Projects Management Unit, People’s Committee of Chau Thanh District, Tay Ninh Province, Vietnam)
(Civil Engineering Department, Bursa Uludağ University, Bursa, Türkiye)
Medium: journal article
Language(s): English
Published in: International Journal of Architectural Heritage
Page(s): 1-19
DOI: 10.1080/15583058.2024.2382755
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: 10.1080/15583058.2024.2382755.
  • About this
    data sheet
  • Reference-ID
    10792349
  • Published on:
    01/09/2024
  • Last updated on:
    01/09/2024
 
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