• DocumentCode
    3226253
  • Title

    Development of a new neuro-fuzzy hybrid system

  • Author

    Cho, Young Im

  • Author_Institution
    Dept. of Comput. Sci., Pyongtaek Univ., South Korea
  • Volume
    3
  • fYear
    2004
  • fDate
    2-6 Nov. 2004
  • Firstpage
    3184
  • Abstract
    There are many neuro-fuzzy hybrid systems which resolve some problems in the traditional fuzzy inference system. To resolve these problems, how to effectively combine neuro-fuzzy systems is very important. In this paper, I will propose an effective hybrid system methodology by stepwise performance evaluations. I will apply the proposed system to DC series motors in order to evaluate the validity of the proposed system. Also, how to resolve some problems of the traditional inference system will be shown here.
  • Keywords
    DC motors; fuzzy neural nets; fuzzy reasoning; DC series motor; fuzzy inference system; neuro-fuzzy hybrid system; stepwise performance evaluation; Analytical models; Biological neural networks; Brain modeling; Computer science; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Humans; Parallel processing; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
  • Print_ISBN
    0-7803-8730-9
  • Type

    conf

  • DOI
    10.1109/IECON.2004.1432322
  • Filename
    1432322