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Existence and global exponential stability of almost periodic solutions to Cohen-Grossberg neural networks with distributed delays on time scales

机译:具有时间尺度分布时滞的Cohen-Grossberg神经网络的概周期解的存在性和全局指数稳定性

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摘要

In this paper, a class of Cohen-Grossberg neural networks with distributed delays on time scales are considered. Without assuming bounded conditions on these activation functions, we establish some sufficient conditions on the existence and global exponential stability of almost periodic solutions for Cohen-Grossberg neural networks on time scales. In addition, a comparison of results shows that these results are generalized. Finally, two examples are given to show the obtained results.
机译:在本文中,考虑了一类在时间尺度上具有分布时滞的Cohen-Grossberg神经网络。在不假设这些激活函数具有受限条件的情况下,我们建立了关于时间尺度上Cohen-Grossberg神经网络的几乎周期解的存在性和全局指数稳定性的充分条件。另外,结果比较表明这些结果是概括的。最后,给出两个例子来说明所获得的结果。

著录项

  • 来源
    《Neurocomputing》 |2014年第10期|207-215|共9页
  • 作者单位

    Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Science, Jiangnan University, Wuxi 214122, PR China;

    Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Science, Jiangnan University, Wuxi 214122, PR China;

    Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Science, Jiangnan University, Wuxi 214122, PR China;

    Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Science, Jiangnan University, Wuxi 214122, 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

    Cohen-Grossberg neural network; Almost periodic solution; Distributed delay; Global exponential stability; Time scale;

    机译:Cohen-Grossberg神经网络;几乎周期解;分布式延迟;全局指数稳定性;时间尺度;

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