Weighted pseudo-almost automorphic solutions of high-order Hopfield neural networks with neutral distributed delays

被引：21

作者：

Zhao, Lili ^{[1
]}

Li, Yongkun ^{[1
]}

Li, Bing ^{[1
]}

机构：

[1] Yunnan Univ, Dept Math, Kunming 650091, Yunnan, Peoples R China

来源：

NEURAL COMPUTING & APPLICATIONS | 2018年 / 29卷 / 07期

关键词：

High-order Hopfield neural networks; Neutral distributed delays; Weighted pseudo-almost automorphic solution; Global exponential stability; Fixed-point theorem; GLOBAL EXPONENTIAL STABILITY; ASYMPTOTIC STABILITY; PERIODIC SOLUTION; EXISTENCE;

D O I：

10.1007/s00521-016-2553-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a class of high-order Hopfield neural networks with neutral distributed delays is considered. Some sufficient conditions are obtained for the existence, uniqueness and global exponential stability of weighted pseudo-almost automorphic solutions for this class of networks by employing the Banach fixed-point theorem and differential inequality techniques. The results of this paper are completely new. An example is given to show the effectiveness of the proposed method and results.

引用

页码：513 / 527

页数：15

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