Using the existence of the exponential dichotomy of linear dynamic
equations on time scales, a fixed point theorem and the theory of calculus on time scales,
we obtain some sufficient conditions for the existence and exponential stability of almost
periodic solutions for a class of neutral-type BAM neural networks with delays on time
scales. Finally, a numerical example illustrates the feasibility of our results and also
shows that the continuous-time neural network and its discrete-time analogue have the
same dynamical behaviors. The results of this paper are completely new even if the
time scale or and complementary to the previously known results.