Periodic solutions and its exponential stability of reaction–diffusion recurrent neural networks with continuously distributed delays
✍ Scribed by Qiankun Song; Jinde Cao; Zhenjiang Zhao
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 232 KB
- Volume
- 7
- Category
- Article
- ISSN
- 1468-1218
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This paper is concerned with analysis problem for the global exponential stability of a class of recurrent neural networks (RNNs) with mixed discrete and distributed delays. We first prove the existence and uniqueness of the equilibrium point under mild conditions, assuming neither differentiability
## Abstract This paper proposes a class of more general model of recurrent neural networks with __functional__ delay, which has been found more suitable to apply directly. Simple and easily checkable conditions of existence, uniqueness, and global exponential stability of periodic solution for the