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Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays

机译:具有时变延迟的中性混合双向双向联想记忆神经网络的鲁棒稳定性分析

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The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties. The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only. Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results. Two numerical examples are illustrated to verify our results.
机译:具有时变延迟和参数不确定性的中性型混合双向联想社会内存神经网络,考虑了均衡的全局渐近稳定性稳定性。我们在本文中获得的结果是延迟衍生的依赖性,并且仅在网络参数之间建立各种关系。因此,本文的结果适用于更大类的神经网络,与先前报告的文献结果相比,可以很容易地验证。示出了两个数值例子以验证我们的结果。

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