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Nonlinear Dynamics and Chaos in Fractional‐Order Hopfield Neural Networks with Delay

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  • Xia Huang
  • Zhen Wang
  • Yuxia Li

Abstract

A fractional‐order two‐neuron Hopfield neural network with delay is proposed based on the classic well‐known Hopfield neural networks, and further, the complex dynamical behaviors of such a network are investigated. A great variety of interesting dynamical phenomena, including single‐periodic, multiple‐periodic, and chaotic motions, are found to exist. The existence of chaotic attractors is verified by the bifurcation diagram and phase portraits as well.

Suggested Citation

  • Xia Huang & Zhen Wang & Yuxia Li, 2013. "Nonlinear Dynamics and Chaos in Fractional‐Order Hopfield Neural Networks with Delay," Advances in Mathematical Physics, John Wiley & Sons, vol. 2013(1).
  • Handle: RePEc:wly:jnlamp:v:2013:y:2013:i:1:n:657245
    DOI: 10.1155/2013/657245
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    References listed on IDEAS

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    Cited by:

    1. Danca, Marius-F., 2021. "Hopfield neuronal network of fractional order: A note on its numerical integration," Chaos, Solitons & Fractals, Elsevier, vol. 151(C).

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