Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak attractor, and asymptotic stability are obtained...
Saved in:
| Main Authors: | Li Wan, Qinghua Zhou, Jizi Li |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2012/369725 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Stochastic Dynamics of Nonautonomous Cohen-Grossberg Neural
Networks
by: Chuangxia Huang, et al.
Published: (2011-01-01) -
Dynamics of Cohen-Grossberg Neural Networks with Mixed Delays and Impulses
by: Xinsong Yang, et al.
Published: (2008-01-01) -
Delay-Dependent Dynamics of Switched Cohen-Grossberg Neural Networks with Mixed Delays
by: Peng Wang, et al.
Published: (2013-01-01) -
Analysis of Exponential Stability for Neutral Stochastic Cohen-Grossberg Neural Networks with Mixed Delays
by: Tianqing Yang, et al.
Published: (2019-01-01) -
Attractor and Boundedness of Switched Stochastic Cohen-Grossberg Neural Networks
by: Chuangxia Huang, et al.
Published: (2016-01-01)