Exponential stability of a class of dynamical networks with distributed delays

This paper is concerned with the existence, uniqueness and exponential stability problems of a class of Cohen-Grossberg neural networks with distributed delays and reaction-diffusion terms. Without assuming the boundedness, monotonicity and differentiability of the activation functions, some sufficient conditions are presented to guarantee the existence and global exponential stability of the neural networks with distributed delays and reaction-diffusion terms. Moreover, after comparing with some results in earlier publication, the results is shown to be less conservative. Finally, computational simulations are given to illustrate the effectiveness of obtained results.