• DocumentCode
    3270744
  • Title

    Bifurcation analysis in neural network with delayed feedback and application to chaotic control

  • Author

    Gao, Chunyu ; Wang, Wenlong

  • Author_Institution
    Dept. of Math., Northeast Agric. Univ., Harbin, China
  • fYear
    2011
  • fDate
    18-20 Jan. 2011
  • Firstpage
    578
  • Lastpage
    581
  • Abstract
    Neural network system with delayed feedback is investigated. By employing the polynomial theorem, the distribution of the roots to the associated characteristic equation is analyzed; the conditions of ensuring the existence of Hopf bifurcation are given. Some numerical simulations show that Hopfield neural networks with delayed feedback can exhibit chaos-to-periodic orbits when a delayed parameter varies.
  • Keywords
    Hopfield neural nets; bifurcation; delays; feedback; neurocontrollers; periodic control; polynomial approximation; Hopf bifurcation; Hopfield neural networks; associated characteristic equation; chaos-to-periodic orbits; chaotic control; delayed feedback; numerical simulations; polynomial theorem; Chaos; Delayed Feedback; Hopf Bifurcation; Hopfield Neural Networks; Periodic Orbits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2011 3rd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-8809-4
  • Electronic_ISBN
    978-1-4244-8810-0
  • Type

    conf

  • DOI
    10.1109/ICACC.2011.6016480
  • Filename
    6016480
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3270744