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Bifurcation Analysis for a Two-Dimensional Discrete-Time Hopfield Neural Network with Delays

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  • Yaping Ren
  • Yongkun Li

Abstract

A bifurcation analysis is undertaken for a discrete-time Hopfield neural network with four delays. Conditions ensuring the asymptotic stability of the null solution are obtained with respect to two parameters of the system. Using techniques developed by Kuznetsov to a discrete-time system, we study the Neimark-Sacker bifurcation (also called Hopf bifurcation for maps) of the system. The direction and the stability of the Neimark-Sacker bifurcation are investigated by applying the normal form theory and the center manifold theorem.

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  • Yaping Ren & Yongkun Li, 2007. "Bifurcation Analysis for a Two-Dimensional Discrete-Time Hopfield Neural Network with Delays," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2007, pages 1-8, April.
    • Handle: RePEc:hin:jijmms:084260
    DOI: 10.1155/2007/84260
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    Cited by:

    1. Yang, Degang & Hu, Chunyan & Chen, Yong & Wei, Pengcheng & Yang, Huaqian, 2009. "New delay-dependent global asymptotic stability criteria of delayed BAM neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 42(2), pages 854-864.

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