• DocumentCode
    3322830
  • Title

    The statistical validation for article neural network

  • Author

    Tsai, Cheng-Yueh ; Wang, Yi-Sheng ; Hsu, Chih-Hung ; Ou, Wei-Ming

  • Author_Institution
    Dept. of Marketing & Logistics Manage., Far East Univ., Tainan, Taiwan
  • Volume
    2
  • fYear
    2010
  • fDate
    5-7 May 2010
  • Firstpage
    121
  • Lastpage
    124
  • Abstract
    The neural network is popular and mature tools in many scopes. However, the interact effect of artificial neural network (ANN) are not clearly. In this study, the hand gesture recognition system (HGRS) that has been developed by artificial neural network was been tested for discussing the relationship of parameters. The study selects four parameters: the number of neurons lays features and learn rates. The conclusion is that the number of neurons and features are significantly affected the performances of HGRS. The details of their discussion are in context.
  • Keywords
    gesture recognition; neural nets; article neural network; hand gesture recognition system; statistical validation; Artificial neural networks; Biological neural networks; Computer network management; Encoding; Engineering management; Logistics; Marketing management; Neural networks; Neurons; Technology management; ANN; ANOVA; Hand gesture system; Statical validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communication Control and Automation (3CA), 2010 International Symposium on
  • Conference_Location
    Tainan
  • Print_ISBN
    978-1-4244-5565-2
  • Type

    conf

  • DOI
    10.1109/3CA.2010.5533652
  • Filename
    5533652