Global exponential stability and periodic solutions of delayed cellular neural networks
Journal of Computer and System Sciences
AI Magazine
Nonlinear Analysis: Theory, Methods & Applications
Dynamic Analysis of Stochastic Recurrent Neural Networks
Neural Processing Letters
Mathematics and Computers in Simulation
Hi-index | 7.29 |
In this paper recurrent neural networks with time-varying delays and continuously distributed delays are considered. Without assuming the global Lipschitz conditions of activation functions, some sufficient conditions for the existence and local exponential stability of the almost periodic solutions are established, which are new and complement previously known results.