On the Dynamics of the High-Order Type Of Neural Networks with Time Varying Coefficients and Mixed Delay

被引：0

作者：

Brahmi, Hajer ^{[1
]}

Ammar, Boudour ^{[1
]}

Cherif, Farouk ^{[2
]}

Alimi, Adel M. ^{[1
]}

机构：

[1] Univ Sfax, Natl Engn Sch Sfax, Dept Elect & Comp Engn, Res Grp Intelligent Machines, Sfax 3038, Tunisia

[2] Univ Sousse, Ecole Super Sci & Technol, ISSATS, Lab Math Phys Specials Funct & Applicat, Sousse 4002, Tunisia

来源：

PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) | 2014年

关键词：

Banach fixed point; pseudo almost-periodic functions; high order recurrent neural network; PERIODIC-SOLUTIONS; EXPONENTIAL STABILITY; EXISTENCE; EQUATIONS; DISCRETE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper discuss the oscillations of high-Order type recurrent delayed neural networks. Various creteria are used to prove the existence and uniqueness of pseudo almost periodic solution in a suitable convex domain. Our method is based on constructing suitable Lyapunov functionals and the well-known Banach contraction mapping principle.

引用

页码：2063 / 2070

页数：8

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