• DocumentCode
    3043610
  • Title

    Implementation of Fuzzy neural-network genetic algorithm based on MCGS

  • Author

    Xianghua, Ren ; Xuefeng, Liang ; Jiqiang, Zhai ; Feng, Guo

  • Author_Institution
    Sch. of Comput. Sci., Harbin Univ. of Sci. & Technol., Harbin, China
  • Volume
    1
  • fYear
    2012
  • fDate
    18-20 May 2012
  • Firstpage
    294
  • Lastpage
    297
  • Abstract
    To compensate for disadvantage of configuration software is used in the advanced controlling algorithm such as Fuzzy neural network genetic algorithm, which script is very simple and incapable for certain complex controlling algorithms, and the real-time control cannot be used directly. This paper propose to merge the operational technology of friendly visual interface in MCGS configuration software into the great ability of calculation of Matlab with sequentially stable man-machine interface by COM/DCOM component technology, which not only improve the ability of real-time control but get-rid of the environmental leash of Matlab as well. Experimental result demonstrates it successfully.
  • Keywords
    COM/DCOM component; MCGS; fuzzy neural network; genetic algorithm; matlab;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (MIC), 2012 International Conference on
  • Conference_Location
    Harbin, China
  • Print_ISBN
    978-1-4577-1601-0
  • Type

    conf

  • DOI
    10.1109/MIC.2012.6273257
  • Filename
    6273257