Sufficient Conditions for Global Stability and Existence of Almost Automorphic Solution of a Class of RNNs

In this paper a class of recurrent neural networks with variable coefficients and mixed delays is considered. After introducing definitions and preliminary lemmas, we prove under convenient assumptions the existence of an almost automorphic solution of the considered model. Moreover, the global exponential stability of the almost automorphic solution is studied. In addition, two examples are also given to illustrate the theory.