DELAY-DEPENDENT GLOBAL ATTRACTIVITY IN BAM NEURAL NETWORKS

In the case of monotone and smooth activation functional, the theory of monotone dynamical systems is applied to obtain criteria for global attractivity of the BAM with time delay. Such criteria depend on the magnitude of delays and show that self inhibitory connection can contribute to the global convergence. A numerical example is given to illustrate the correctness of the results obtained.