Global Exponential Stability of a Class of Neural Networks with Finite Distributed Delays

In this paper, global exponential stability of a class of neural networks with finite distributed delays is investigated bymatrix measure technique and Halanay inequality. Several sufficient conditions are given to guarantee globalexponential stability of the neural networks without assuming the differentiability of delay. At last, two examples aregiven to illustrate the applicability of our results.