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首页> 外文期刊>Neural processing letters >Global Convergence on Asymptotically Almost Periodic SICNNs with Nonlinear Decay Functions
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Global Convergence on Asymptotically Almost Periodic SICNNs with Nonlinear Decay Functions

机译:具有非线性衰减函数的渐近概周期SICNN的全局收敛性。

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摘要

In this paper, we propose a class of asymptotically almost periodic shunting inhibitory cellular neural networks with mixed delays and nonlinear decay functions. Without using the exponential dichotomy theory of linear differential equations, a set of easily verifiable sufficient conditions are established to show that every solution of the considered system is asymptotically almost periodic, and converges to a same almost periodic function as t+, which improve and supplement some previously known researches. Finally, a numerical example is given to demonstrate the effectiveness of the obtained results.
机译:在本文中,我们提出了一类具有混合时滞和非线性衰减函数的渐近几乎周期分流抑制性细胞神经网络。在不使用线性微分方程的指数二分法的情况下,建立了一组易于验证的充分条件,以表明所考虑系统的每个解都是渐近渐近周期的,并且收敛到与t +相同的近似周期函数,从而改善并补充了一些先前已知的研究。最后,通过数值例子说明了所获得结果的有效性。

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