Oscillation of impulsive neutral delay generalized high-order Hopfield neural networks

被引：68

作者：

Aouiti, Chaouki ^{[1
]}

机构：

[1] Univ Carthage, Fac Sci Bizerta, Dept Math, BP 7021, Bizerte, Zarzouna, Tunisia

来源：

NEURAL COMPUTING & APPLICATIONS | 2018年 / 29卷 / 09期

关键词：

Neutral High-order Hopfield neural networks; Impulse; Piecewise differentiable pseudo-almost periodic function; Mixed time-varying delays; Leakage delays; ALMOST-PERIODIC SOLUTIONS; GLOBAL EXPONENTIAL STABILITY; EXISTENCE; COEFFICIENTS; TERMS;

D O I：

10.1007/s00521-016-2558-3

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, the existence and the exponential stability of piecewise differentiable pseudo-almost periodic solutions for a class of impulsive neutral high-order Hopfield neural networks with mixed time-varying delays and leakage delays are established by employing the fixed point theorem, Lyapunov functional method and differential inequality. Numerical example with graphical illustration is given to illuminate our main results.

引用

收藏

页码：477 / 495

页数：19

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