Study of attraction domain and exponential convergence rate of Hopfield continuous dynamic feedback neural nets

The attraction domain of memory patterns and exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous dynamic feedback neural nets are estimated by using analytical techniques and a new Lyapunov function. Some new results are obtained, and the results can be used for the evaluation of fault-tolerance capability and synthesis procedures of Hopfield continuous dynamic feedback neural nets.