Existence and globally exponential stability of almost periodic solution for Cohen–Grossberg BAM neural networks with variable coefficients

In this paper, a class of Cohen–Grossberg BAM neural networks with variable coefficients are studied. Some sufficient conditions are established for the existence and uniqueness of the almost periodic solution. These results have important leading significance in designs and applications of Cohen–Grossberg BAM neural networks. Finally, an example is presented to illustrate the feasibility and effectiveness of the results.