Exponential stability of hybrid stochastic recurrent neural networks with time-varying delays |
| |
| Authors: | Guoqiang Peng Lihong Huang |
| |
| Institution: | aCollege of Mathematics and Econometrics, Hunan University, Changsha, Hunan 410082, PR China |
| |
| Abstract: | In this paper, we consider a class of hybrid Stochastic recurrent neural networks with time-varying delays. By using Razumikhin-type theorem, we not only obtain–almost surely–the exponential stability but also estimate the exponentially convergent rate. |
| |
| Keywords: | Hybrid stochastic recurrent neural network Delay Almost surely exponential stability |
| 本文献已被 ScienceDirect 等数据库收录！ |
