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Multi-stability and almost periodic solutions of a class of recurrent neural networks

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  • Liu, Yiguang
  • You, Zhisheng

Abstract

This paper studies multi-stability, existence of almost periodic solutions of a class of recurrent neural networks with bounded activation functions. After introducing a sufficient condition insuring multi-stability, many criteria guaranteeing existence of almost periodic solutions are derived using Mawhin’s coincidence degree theory. All the criteria are constructed without assuming the activation functions are smooth, monotonic or Lipschitz continuous, and that the networks contains periodic variables (such as periodic coefficients, periodic inputs or periodic activation functions), so all criteria can be easily extended to fit many concrete forms of neural networks such as Hopfield neural networks, or cellular neural networks, etc. Finally, all kinds of simulations are employed to illustrate the criteria.

Suggested Citation

  • Liu, Yiguang & You, Zhisheng, 2007. "Multi-stability and almost periodic solutions of a class of recurrent neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 33(2), pages 554-563.
    • Handle: RePEc:eee:chsofr:v:33:y:2007:i:2:p:554-563
    DOI: 10.1016/j.chaos.2006.01.081
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    References listed on IDEAS

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    1. Sun, Changyin & Feng, Chun-Bo, 2004. "Exponential periodicity and stability of delayed neural networks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 66(6), pages 469-478.
    2. Liu, Yiguang & You, Zhisheng & Cao, Liping, 2005. "Dynamical behaviors of Hopfield neural network with multilevel activation functions," Chaos, Solitons & Fractals, Elsevier, vol. 25(5), pages 1141-1153.
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    Cited by:

    1. Xu, Quan & Lin, Yi & Bao, Bocheng & Chen, Mo, 2016. "Multiple attractors in a non-ideal active voltage-controlled memristor based Chua's circuit," Chaos, Solitons & Fractals, Elsevier, vol. 83(C), pages 186-200.
    2. Zhao, Weirui, 2009. "On existence and global exponential stability of periodic solution of two-neuron networks with time-varying delays," Chaos, Solitons & Fractals, Elsevier, vol. 40(3), pages 1100-1105.
    3. Zhao, Weirui & Zhang, Huanshui, 2009. "New results of almost periodic solutions for cellular neural networks with mixed delays," Chaos, Solitons & Fractals, Elsevier, vol. 40(2), pages 831-838.

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