On delayed impulsive Hopfield neural networks

Many evolutionary processes, particularly some biological systems, exhibit impulsive dynamical behaviors, which can be well described by impulsive Hop field neural networks. This paper formulates and studies a model of delayed impulsive Hopfield neural networks. Several fundamental issues such as glo bal exponential stability, existence and uniqueness of the equilibrium of s uch networks are established. A numerical example is given for illustration and interpretation of the theoretical results. (C) 1999 Elsevier Science L td. All rights reserved.