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Using the existence of the exponential dichotomy of linear dynamicequations 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 almostperiodic solutions for a class of neutral-type BAM neural networks with delays on timescales. Finally, a numerical example illustrates the feasibility of our results and alsoshows that the continuous-time neural network and its discrete-time analogue have thesame dynamical behaviors. The results of this paper are completely new even if thetime scale =ℝ or ℤ and complementary to the previously known results

Almost Periodic Solutions for Neutral-Type BAM Neural Networks with Delays on Time Scales