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首页> 外文期刊>Neural computing & applications >Asymptotic behavior of equilibriums of a class of impulsive bidirectional associative memory neural networks with time-varying delays
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Asymptotic behavior of equilibriums of a class of impulsive bidirectional associative memory neural networks with time-varying delays

机译:一类具有时变时滞的脉冲双向联想记忆神经网络的平衡的渐近行为

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摘要

In this paper, we study the global asymptotic behavior for an impulsive bidirectional associative memory neural network with time-varying delays. The impulses are realized at fixed moments of time. The main stability criteria are proved by employing Lyapunov functions and the Razumikhin technique. An illustrative example is given to demonstrate the effectiveness of the obtained results.
机译:在本文中,我们研究了具有时变时滞的脉冲双向联想记忆神经网络的全局渐近行为。脉冲是在固定的时间点实现的。通过使用李雅普诺夫函数和Razumikhin技术证明了主要的稳定性标准。给出一个说明性的例子来证明所获得结果的有效性。

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