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Dual-input anomaly detection method based on deep reinforcement learning

Author(s): ORCID (College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(College of General Aviation and Flight, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(Beijing Aeronautical Engineering Technical Research Center, Beijing, China)
(College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China)
(Beijing Aeronautical Engineering Technical Research Center, Beijing, China)
Medium: journal article
Language(s): English
Published in: Structural Health Monitoring, , n. 3, v. 23
Page(s): 1578-1591
DOI: 10.1177/14759217231188002
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: 10.1177/14759217231188002.
  • About this
    data sheet
  • Reference-ID
    10739205
  • Published on:
    03/09/2023
  • Last updated on:
    25/04/2024
 
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