Research article

Dynamic behaviors for reaction-diffusion neural networks with mixed delays

  • Received: 16 July 2020 Accepted: 31 August 2020 Published: 04 September 2020
  • MSC : 35C07, 35K57, 92D30

  • A class of reaction-diffusion neural networks with mixed delays is studied. We will discuss some important properties of the periodic mild solutions including existence and globally exponential stability by using exponential dissipation property of semigroup of operators and some analysis techniques. Finally, an example for the above neural networks is given to show the effectiveness of the results in this paper.

    Citation: Mei Xu, Bo Du. Dynamic behaviors for reaction-diffusion neural networks with mixed delays[J]. AIMS Mathematics, 2020, 5(6): 6841-6855. doi: 10.3934/math.2020439

    Related Papers:

  • A class of reaction-diffusion neural networks with mixed delays is studied. We will discuss some important properties of the periodic mild solutions including existence and globally exponential stability by using exponential dissipation property of semigroup of operators and some analysis techniques. Finally, an example for the above neural networks is given to show the effectiveness of the results in this paper.


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