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SSA optimized back propagation neural network model for dam displacement monitoring based on long-term temperature data

Author(s): ORCID (School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, P. R. China)
(School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, P. R. China)
(School of Hydraulic Engineering, Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, P. R. China)
Medium: journal article
Language(s): English
Published in: European Journal of Environmental and Civil Engineering, , n. 4, v. 27
Page(s): 1-27
DOI: 10.1080/19648189.2022.2090445
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: 10.1080/19648189.2022.2090445.
  • About this
    data sheet
  • Reference-ID
    10686538
  • Published on:
    13/08/2022
  • Last updated on:
    18/04/2023
 
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