0
  • DE
  • EN
  • FR
  • International Database and Gallery of Structures

Advertisement

Deformation forecasting of a hydropower dam by hybridizing a long short‐term memory deep learning network with the coronavirus optimization algorithm

Author(s): ORCID (Faculty of Water Resources Engineering Thuyloi University Hanoi Vietnam)
ORCID (Data Science and Big Data Lab Pablo de Olavide University ES‐41013 Seville Spain)
ORCID (Data Science and Big Data Lab Pablo de Olavide University ES‐41013 Seville Spain)
ORCID (Department of Geological‐Geotechnical Engineering Hanoi University of Mining and Geology Hanoi Vietnam)
ORCID (GIS Group, Department of Business and IT University of South‐Eastern Norway Bø i Telemark Norway)
ORCID (Data Science and Big Data Lab Pablo de Olavide University ES‐41013 Seville Spain)
Medium: journal article
Language(s): English
Published in: Computer-Aided Civil and Infrastructure Engineering, , n. 11, v. 37
Page(s): 1368-1386
DOI: 10.1111/mice.12810
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: 10.1111/mice.12810.
  • About this
    data sheet
  • Reference-ID
    10656712
  • Published on:
    17/02/2022
  • Last updated on:
    13/08/2022
 
Structurae cooperates with
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine