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Attracting and quasi-invariant sets of non-autonomous neural networks with delays

机译:具有时滞的非自治神经网络的吸引和拟不变集合

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摘要

In this paper, a class of non-autonomous neural networks with delays is considered. By using the properties of spectral radius of nonnegative matrix, two new integral inequalities are established. Based on the integral inequalities, some new sufficient conditions for the existence of quasi-invariant and attracting sets of the non-autonomous neural networks with delays are obtained. The framework of the quasi-invariant and attracting sets is also given. The results extend and improve the earlier publications. One example is presented to illustrate the effectiveness of our conclusion.
机译:本文考虑了一类具有时滞的非自治神经网络。利用非负矩阵的谱半径特性,建立了两个新的积分不等式。基于积分不等式,获得了具有时滞的非自治神经网络的拟不变和吸引集的存在的一些新的充分条件。还给出了拟不变吸引集的框架。结果扩展和改进了早期的出版物。给出了一个例子来说明我们结论的有效性。

著录项

  • 来源
    《Neurocomputing》 |2012年第1期|p.222-228|共7页
  • 作者

    Daoyi Xu; Shujun Long;

  • 作者单位

    Yangtze Center of Mathematics, Sichuan University, Chengdu 610064. PR China;

    Yangtze Center of Mathematics, Sichuan University, Chengdu 610064. PR China,College of Mathematics and Information Science, Leshan Teachers College, Leshan 614004, 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

    quasi-invariant sets; attracting sets; stability; delays; integral inequality;

    机译:拟不变集吸引集稳定性时滞积分不等式;

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