Convergence of reciprocal time-discrete cellular neural networks with continuous nonlinearities

摘要

A proof for the convergence of reciprocal time-discrete cellular neural networks (CNNs) with continuous, monotone increasing nonlinearities is presented. The proof uses a Lyapunov function of the time-discrete cellular neural network.