Global exponential stability of recurrent neural networks with distributed delays

In this paper, based on differential inequality technique, we investigate global exponential stability of recurrent neural networks with distributed delays. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium point of the recurrent neural networks. Finally, an example is given to illustrate advantages of our approach.