• DocumentCode
    509105
  • Title

    Fault Diagnosis Method Based on PSO-optimized H-BP Neural Network

  • Author

    Hong, Rao ; Meizhu, Li ; Qianru, Hu

  • Author_Institution
    Center of Comput., Nanchang Univ., Nanchang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    21-22 Nov. 2009
  • Firstpage
    272
  • Lastpage
    275
  • Abstract
    The paper combined the advantage of particle swarm optimization algorithm (PSO), the global optimizing ability of Hopfield Neural Network, and the teacher supervising features of BP neural network to construct a new equipment fault diagnosis method with higher diagnosis precision, compared with the traditional single BP neural network.
  • Keywords
    Hopfield neural nets; backpropagation; fault diagnosis; particle swarm optimisation; H-BP neural network; Hopfield neural network; fault diagnosis; global optimizing ability; particle swarm optimization; Acceleration; Application software; Computer networks; Fault diagnosis; Hopfield neural networks; Information technology; Intelligent networks; Iterative algorithms; Neural networks; Particle scattering; BP neural network; Fault Diagnosis; Hopfield neural network; PSO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-0-7695-3859-4
  • Type

    conf

  • DOI
    10.1109/IITA.2009.350
  • Filename
    5369225
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=509105