The Stable Periodic Solutions of a Discrete Neural Network System
โ Scribed by Jin Deng
- Publisher
- Institute of Applied Mathematics, Chinese Academy of Sciences and Chinese Mathematical Society
- Year
- 2006
- Tongue
- English
- Weight
- 131 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0168-9673
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
In this paper, the existence and global exponential stability of periodic solutions for a class of numerical discretization neural networks are investigated. Using coincidence degree theory and the Lyapunov method, sufficient conditions for the existence and global exponential stability of periodic
The discrete Leslie-Cower predator-prey model is studied. The model allows for a fluctuating environment. Sufficient conditions which guarantee the permanence of the model are obtained at first, assuming that the coefficients in the model are periodic, the existence of periodic solution are also obt
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.