New convergence behavior of solutions to shunting inhibitory cellular neural networks with unbounded delays and time-varying coefficients

New convergence behavior of solutions to shunting inhibitory cellular neural networks with unbounded delays and time-varying coefficients
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DOI:
10.1016/j.apm.2007.10.009
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发表时间:
2009
影响因子:
5
通讯作者:
Bingwen Liu
Bingwen Liu
中科院分区:
工程技术2区
文献类型:
--
作者:
Bingwen Liu

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研究了具有无界时滞和时变系数的分流抑制细胞神经网络的收敛性。建立了网络解局部指数收敛于零点的充分条件,这些结果是新的,是对已有结果的补充。
In this paper the convergence behavior of shunting inhibitory cellular neural networks with unbounded delays and time-varying coefficients are considered. Some sufficient conditions are established to ensure that the solutions of the networks converge locally exponentially to the zero point, which are new and complement of previously known results.