二十世纪以来,由于数理统计、神经网络科学、计算机信息科学等的飞速发展,对各种神经网络的研究越来越深入。在具有分布时滞神经网络的基础上,利用M-矩阵理论和李雅普诺夫函数来研究具有分布时滞的Cohen-Grossberg神经网络系统的稳定性问题。最后给出实例仿真说明所得结果的有效性。 Since the twentieth century, due to the rapid development of mathematical statistics, neural network science and computer information science, the research on various neural networks has been deepening. Based on the neural network with distributed delays, the M-matrix theory and Lyapunov function are used to study the stability of Cohen-Grossberg neural networks with distributed delays. Finally, an example is given to illustrate the effectiveness of the simulation results.