𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Periodic oscillation for a class of neural networks with variable coefficients

✍ Scribed by Shangjiang Guo; Lihong Huang

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
239 KB
Volume
6
Category
Article
ISSN
1468-1218

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Existence and stability of almost period
Existence and stability of almost periodic solution for Cohen–Grossberg neural networks with variable coefficients
✍ Hongyong Zhao; Ling Chen; Zisen Mao πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 324 KB

This paper is devoted to the existence and globally exponential stability of almost periodic solution for a class of Cohen-Grossberg neural networks with variable coefficients. By using Banach fixed point theorem and applying inequality technique, we give some sufficient conditions ensuring the exis

An anti-periodic solution for a class of
An anti-periodic solution for a class of recurrent neural networks
✍ Jianying Shao πŸ“‚ Article πŸ“… 2009 πŸ› Elsevier Science 🌐 English βš– 823 KB

In this paper recurrent neural networks with time-varying delays and continuously distributed delays are considered. Sufficient conditions for the existence and exponential stability of the anti-periodic solutions are established, which are new and complement previously known results.

Global exponential stability of a class
Global exponential stability of a class of neural networks with variable delays
✍ W. Zheng; J. Zhang πŸ“‚ Article πŸ“… 2005 πŸ› Elsevier Science 🌐 English βš– 441 KB

In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov functio