• DocumentCode
    532117
  • Title

    The application of SOM neural network in IVC fault diagnosis

  • Author

    Bo Qu ; Hong, Lin

  • Author_Institution
    Electr. Inf. Inst., Suzhou Univ., Suzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    The construction and algorithm of a self-organizing feature map neural network is researched. It is the first time to present the method of classifying and diagnosing IVC fault based on clustering principle of the SOM network .The diagnosis results given in this article prove that the fault diagnosis approach is effective.
  • Keywords
    pattern clustering; self-organising feature maps; zoology; IVC fault diagnosis; clustering principle; individually ventilated cages; self-organizing feature map neural network; Fault diagnosis; IVC; Neural network; Self-Organizing feature map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620003
  • Filename
    5620003
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=532117