Numerical simulation of periodic solutions for a class of numerical discretization neural networks
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 solutions are obtained. Numerical simulations are given at the end of this paper. (C) 2010 Elsevier Ltd. All rights reserved.
periodic solution neural network coincidence degree globally exponentially stable lyapunov function