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Coexistence of 2~N domains of attraction of nonautonomous neural networks with time-varying delays

机译:具有时变时滞的非自治神经网络的2〜N吸引域共存

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摘要

This paper presents new dynamical behavior, i.e., the coexistence of 2~N domains of attraction of N-dimensional nonautonomous neural networks with time-varying delays. By imposing some new assumptions on activation functions and system parameters, we construct 2~N invariant basins for neural system and derive some criteria on the boundedness and exponential attractivity for each invariant basin. Particularly, when neural system degenerates into periodic case, we not only attain the coexistence of 2~N periodic orbits in bounded invariant basins but also give their domains of attraction. Moreover, our results are suitable for autonomous neural systems. Our new results improve and generalize former ones. Finally, computer simulation is performed to illustrate the feasibility of our results.
机译:本文提出了一种新的动力学行为,即具有时变时滞的N维非自治神经网络的2〜N个吸引域共存。通过对激活函数和系统参数施加一些新的假设,我们构造了2〜N个神经系统不变盆地,并推导了每个不变盆地的有界性和指数吸引性准则。特别是当神经系统退化为周期性情况时,我们不仅在有界不变盆地中获得了2〜N个周期性轨道的共存,而且给出了它们的吸引域。此外,我们的结果适用于自主神经系统。我们的新结果改进和推广了以前的结果。最后,进行计算机仿真以说明我们的结果的可行性。

著录项

  • 来源
    《Applied Mathematical Modelling》 |2010年第1期|80-91|共12页
  • 作者单位

    School of Sciences, Jimei University, Xiamen 361021, PR China Department of Mathematics, Faculty of Science, Universiti Brunei Darussalam, Gadong BE 1410, Brunei Darussalam;

    Department of Mathematics, Faculty of Science, Universiti Brunei Darussalam, Gadong BE 1410, Brunei Darussalam;

    College of Mathematical Science, Guangxi Normal University, Guilin 541004, PR China;

    School of Sciences, Jimei University, Xiamen 361021, PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    neural networks; invariant basins; domains of attraction; periodic orbits;

    机译:神经网络;不变盆地吸引力领域;周期性轨道;
  • 入库时间 2022-08-18 03:00:08

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