Piecewise Pseudo Almost Periodic Solution for Impulsive Generalised High-Order Hopfield Neural Networks with Leakage Delays

被引：0
作者：
Chaouki Aouiti
Mohammed Salah M’hamdi
Jinde Cao
Ahmed Alsaedi
机构：
[1] University of Carthage,Department of Mathematics, Faculty of Sciences of Bizerta
[2] Southeast University,Department of Mathematics
[3] King Abdulaziz University,Department of Mathematics, Faculty of Science
[4] King Abdulaziz University,Nonlinear Analysis and Applied Mathematics (NAAM) Research Group, Department of Mathematics
来源：
Neural Processing Letters | 2017年 / 45卷
关键词：
Impulsive high-order Hopfield neural networks; Leakage delays; Piecewise pseudo almost-periodic function; Mixed delays; 34C27; 37B25; 92C20;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Existence of piecewise differentiable pseudo almost-periodic solutions for a class of impulsive high-order Hopfield neural networks with leakage delays are established by employing the fixed point theorem, differential inequality and Lyapunov functionals. The results of this paper are new and they supplement previously known works. Numerical example with graphical illustration is given to illuminate our main results.
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页码：615 / 648
页数：33
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