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一类中立型Cohen-Grossberg神经网络概周期解的存在唯一性 被引量:2

Existence and Uniqueness of Almost Periodic Solution for Neutral BAM-type Cohen-Grossberg Neural Networks
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摘要 通过建立线性辅助方程,利用指数二分性及不动点定理,获得了一类具有混合时滞的中立型Cohen-Grossberg神经网络概周期解存在唯一性的充分条件. In this paper, by establishing appropriate linear auxiliary equations and using exponential dichotomy, fixed-point theorem, some sufficient conditions are derived for the existence and uniqueness of almost periodic solution of a class of neutral BAM-type Cohen- Grossberg neural networks
出处 《应用数学学报》 CSCD 北大核心 2015年第2期212-221,共10页 Acta Mathematicae Applicatae Sinica
基金 国家自然科学基金(11161029) 广东省自然科学基金(2014A030307016) 广西高校科学技术研究(2013YB282)资助项目
关键词 中立型BAM COHEN-GROSSBERG神经网络 概周期解 指数二分性 不动点定理 neutral BAM-type Cohen-Grossberg neural networks almost periodic solution exponential dichotomy fixed-point theorem
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