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Existence and exponential stability of anti-periodic solutions for interval general bidirectional associative memory neural networks with multiple delays

机译:具有多个时滞的区间广义双向联想记忆神经网络的反周期解的存在性和指数稳定性

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摘要

In this article, we will consider the a class of interval general bidirectional associative memory (BAM) neural networks with multiple delays. Based on the fundamental solution matrix of coefficients, inequality technique and Lyapunov method, we derive a series of sufficient conditions to ensure the existence and exponential stability of anti-periodic solutions of the neural networks with multiple delays. Our findings are new and complement some previously known studies.
机译:在本文中,我们将考虑一类具有多个延迟的间隔通用双向联想记忆(BAM)神经网络。基于系数的基本解矩阵,不等式技术和Lyapunov方法,我们得出了一系列充分的条件,以确保具有多个时滞的神经网络的反周期解的存在性和指数稳定性。我们的发现是新的,并且补充了一些先前已知的研究。

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