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New results on impulsive type inertial bidirectional associative memory neural networks
Frontiers of Information Technology & Electronic Engineering ( IF 2.7 ) Pub Date : 2020-04-08 , DOI: 10.1631/fitee.1900181
Chaouki Aouiti , Mahjouba Ben Rezeg , Yang Cao

This paper is concerned with inertial bidirectional associative memory neural networks with mixed delays and impulsive effects. New and practical conditions are given to study the existence, uniqueness, and global exponential stability of anti-periodic solutions for the suggested system. We use differential inequality techniques to prove our main results. Finally, we give an illustrative example to demonstrate the effectiveness of our new results.



中文翻译:

脉冲型惯性双向联想记忆神经网络的新结果

本文涉及具有混合时滞和脉冲效应的惯性双向联想记忆神经网络。为研究建议系统的反周期解的存在性,唯一性和全局指数稳定性提供了新的实际条件。我们使用微分不等式技术来证明我们的主要结果。最后,我们给出一个说明性的例子来证明我们新结果的有效性。

更新日期:2020-04-18
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