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Pseudo almost periodic solutions for neutral type high-order Hopfield neural networks with mixed time-varying delays and leakage delays on time scales

机译:中立型高阶Hopfield的伪概周期解   具有混合时变延迟和泄漏延迟的神经网络   秤

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摘要

In this paper, a class of neutral type high-order Hopfield neural networkswith mixed time-varying delays and leakage delays on time scales is proposed.Based on the exponential dichotomy of linear dynamic equations on time scales,Banach's fixed point theorem and the theory of calculus on time scales, somesufficient conditions are obtained for the existence and global exponentialstability of pseudo almost periodic solutions for this class of neuralnetworks. Our results are completely new. Finally, we present an example toillustrate our results are effective. Our example also shows that thecontinuous-time neural network and its discrete-time analogue have the samedynamical behaviors for the pseudo almost periodicity.
机译:本文提出了一类在时标上具有时变时滞和泄漏时滞的混合型中立型高阶Hopfield神经网络。基于时标线性动力学方程的指数二分法,Banach不动点定理和时滞理论在时间尺度上进行微积分,为这类神经网络的伪几乎周期解的存在和全局指数稳定性获得了一些充分条件。我们的结果是全新的。最后,我们给出一个例子来说明我们的结果是有效的。我们的例子还表明,连续时间神经网络及其离散时间模拟对于伪几乎周期性具有相同的动力学行为。

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