Stability analysis of delayed cellular neural networks
Neural Networks
Dynamics of a class of discete-time neural networks and their comtinuous-time counterparts
Mathematics and Computers in Simulation
Stability analyses of cellular neural networks with continuous time delay
Journal of Computational and Applied Mathematics
AI Magazine
Exponential stability of continuous-time and discrete-time cellular neural networks with delays
Applied Mathematics and Computation
Journal of Computational and Applied Mathematics
Multistability of HNNs with almost periodic stimuli and continuously distributed delays
International Journal of Systems Science
Improved asymptotic stability criteria for neural networks with interval time-varying delay
Expert Systems with Applications: An International Journal
Leakage Delays in T---S Fuzzy Cellular Neural Networks
Neural Processing Letters
| Hi-index | 7.29 |
We study delayed cellular neural networks (DCNNs) whose state variables are governed by nonlinear integrodifferential differential equations with delays distributed continuously over unbounded intervals. The networks are designed in such a way that the connection weight matrices are not necessarily symmetric, and the activation functions are globally Lipschitzian and they are not necessarily bounded, differentiable and monotonically increasing. By applying the inequality pa^p^-^1b=