Existence and exponential stability of equilibrium point for fuzzy BAM neural networks with infinitely distributed delays and impulses on time scales

By using the fixed point theorem and constructing a lyapunov functional,we establish some sufficient conditions on the existence,uniqueness,and exponential stability of equilibrium point for a class of fuzzy bam neural networks with infinitely distributed delays and impulses on time scales. we also present a numerical example to show the feasibility of obtained results. our example also shows that the described time and continuous neural time networks have the same dynamic behaviours for the stability. © 2014 yongkun li et al.