• DocumentCode
    296110
  • Title

    Prediction of bifurcation from chaotic circuit with RBF

  • Author

    Shibayama, Hiroyuki ; Saito, Toshimichi

  • Author_Institution
    EEE Dept., Hosei Univ., Tokyo, Japan
  • Volume
    4
  • fYear
    1995
  • fDate
    Nov/Dec 1995
  • Firstpage
    1729
  • Abstract
    This paper proposes a simple radial basis function (RBF) network to predict chaos and bifurcation from our original chaotic circuit. We have evaluated the prediction performance for four kinds of RBF networks and have discovered that heuristic changing of RBF network parameters can mimic the original circuit bifurcation. It suggests that RBF network is efficient not only for time series prediction but also for bifurcation prediction
  • Keywords
    bifurcation; chaos; feedforward neural nets; prediction theory; bifurcation prediction; chaos; chaotic circuit; circuit bifurcation; neural networks; radial basis function network; Bifurcation; Chaos; Character generation; Diodes; Electronic mail; Equations; Radial basis function networks; Switches; Switching circuits; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1995. Proceedings., IEEE International Conference on
  • Conference_Location
    Perth, WA
  • Print_ISBN
    0-7803-2768-3
  • Type

    conf

  • DOI
    10.1109/ICNN.1995.488881
  • Filename
    488881