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Bifurcation of a Cohen‐Grossberg Neural Network with Discrete Delays

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  • Qiming Liu
  • Wang Zheng

Abstract

A simple Cohen‐Grossberg neural network with discrete delays is investigated in this paper. The existence of local Hopf bifurcations is first considered by choosing the appropriate bifurcation parameter, and then explicit formulas are given to determine the direction of Hopf bifurcation and stability of the periodic solutions. Moreover, a set of sufficient conditions are given to guarantee the global Hopf bifurcation. Numerical simulations are given to illustrate the obtained results.

Suggested Citation

  • Qiming Liu & Wang Zheng, 2012. "Bifurcation of a Cohen‐Grossberg Neural Network with Discrete Delays," Abstract and Applied Analysis, John Wiley & Sons, vol. 2012(1).
  • Handle: RePEc:wly:jnlaaa:v:2012:y:2012:i:1:n:909385
    DOI: 10.1155/2012/909385
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    References listed on IDEAS

    as
    1. Yang, Yu & Ye, Jin, 2009. "Stability and bifurcation in a simplified five-neuron BAM neural network with delays," Chaos, Solitons & Fractals, Elsevier, vol. 42(4), pages 2357-2363.
    2. Huang, Zhenkun & Xia, Yonghui, 2009. "Exponential periodic attractor of impulsive BAM networks with finite distributed delays," Chaos, Solitons & Fractals, Elsevier, vol. 39(1), pages 373-384.
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    Cited by:

    1. Qiming Liu & Sumin Yang, 2014. "Stability and Hopf Bifurcation of an n‐Neuron Cohen‐Grossberg Neural Network with Time Delays," Journal of Applied Mathematics, John Wiley & Sons, vol. 2014(1).

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