Global dynamics of periodic delayed neural networks models
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 689-699 |
| Journal / Publication | Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms |
| Volume | 12 |
| Issue number | 5-6 |
| Publication status | Published - Oct 2005 |
Link(s)
Abstract
In this paper, without assuming the smoothness, monotonicity and bounded-ness of the activation functions, some new and simple sufficient conditions of the existence and global exponential stability of periodic attractors for a model of periodic delayed recurrent neural networks are obtained by utilizing topological degree theory and the Lyapunov functional methods, which are natural extension and generalization of the corresponding results existing in the literature. Copyright © 2005 Watam Press.
Research Area(s)
- Dynamic attractor, Lyapunov functional, Periodic delayed recurrent neural networks, Periodic solutions, Stability, Topological degree theory
Citation Format(s)
Global dynamics of periodic delayed neural networks models. / Zhou, Jin; Liu, Zengrong; Chen, Guanrong.
In: Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, Vol. 12, No. 5-6, 10.2005, p. 689-699.
In: Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications and Algorithms, Vol. 12, No. 5-6, 10.2005, p. 689-699.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
