• DocumentCode
    353299
  • Title

    Fuzzy neural network with relational fuzzy rules

  • Author

    Gaweda, Adam E. ; Zurada, Jacek M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Louisville Univ., KY, USA
  • Volume
    5
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    3
  • Abstract
    The paper presents a fuzzy neural network whose structure accounts for relations between input variables of the system under consideration. This modification results in a simple fuzzy model with improved approximation accuracy. An example of nonlinear time series prediction using the proposed fuzzy neural network is also included
  • Keywords
    fuzzy neural nets; time series; fuzzy model; fuzzy neural network; nonlinear time series prediction; relational fuzzy rules; Covariance matrix; Electronic mail; Explosions; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Input variables; Partitioning algorithms; Performance analysis; Unsupervised learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
  • Conference_Location
    Como
  • ISSN
    1098-7576
  • Print_ISBN
    0-7695-0619-4
  • Type

    conf

  • DOI
    10.1109/IJCNN.2000.861426
  • Filename
    861426
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=353299