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Existence and global exponential stability of pseudo almost periodic solution for neutral delay BAM neural networks with time-varying delay in leakage terms

机译:泄漏术语时变延迟时滞BAM神经网络伪几乎周期性解决方案的存在和全局指数稳定性

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摘要

In this paper, bidirectional associative memory (BAM) neural networks with time-varying delays in leakage terms are investigated. A set of sufficient conditions are obtained for the existence and the exponential stability of pseudo almost periodic solutions for this class of neural networks by applying Banach's fixed point theorems, and differential inequality techniques. Finally, we present a numerical example and simulation to illustrate the effectiveness of the theoretical results. We extend and improve previously know results. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,研究了双向关联存储器(BAM)神经网络,其泄漏术语的时变延迟。 通过应用Banach的定理定理和差分不等式技术,获得了一组足够的伪几乎周期性解决方案的存在和指数稳定性。 最后,我们提出了一个数字示例和模拟,以说明理论结果的有效性。 我们延长并改善以前了解结果。 (c)2017 Elsevier Ltd.保留所有权利。

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