Anti-periodic solution for impulsive BAM neural networks with time-varying leakage delays on time scales

In this paper, by using a continuation theorem of coincidence degree theory and differential inequality techniques, we establish some sufficient conditions ensuring the existence and global exponential stability of anti-periodic solutions for a class of BAM neural networks with time-varying leakage delays and impulses on time scales. In addition, we present an illustrative example to show the feasibility of obtained results.