On the domain of attraction and convergence rate of Hopfield continuous feedback neural networks

The domain of attraction of memory patterns and exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous associative memory are estimated by means of a matrix measure and a comparison principle. These results can be used for the evaluation of fault-tolerance capability and the synthesis procedures for Hopfield continuous feedback associative memory neural networks.