• DocumentCode
    536299
  • Title

    Study on data disposing method by Vague set based BP network

  • Author

    Zhao, Faxin ; Chang, Chunguang

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Zhanjiang Normal Univ., Zhanjiang, China
  • Volume
    2
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    841
  • Lastpage
    844
  • Abstract
    The capability to dispose uncertain information of training samples for BP neural network is not strong enough. To tackle this problem, Vague set is introduced into the conventional BP neural network, and the implement method of Vague set based BP (VBP) neural network is studied in detail. To validate the performance of VBP neural network, the monitoring of real time produce process is taken as research background, the result by VBP neural network is compared with those results by conventional BP neural network under three input modes. The result shows that, the test accuracy rate by VBP neural network is higher than those by conventional BP neural network under three input modes. VBP neural network is fit for training samples with uncertain information, and it indicates broad application prospect.
  • Keywords
    backpropagation; fuzzy set theory; neural nets; uncertain systems; VBP neural network; data disposing method; training samples; uncertain information disposing; vague set; Facsimile; Monitoring; BP neural network; Fuzzy set; Vague set; membership degree function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658632
  • Filename
    5658632