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本文利用重合度理论和 V-泛函研究了一类具有周期输入的广义时滞 Hopfield型连续神经网络系统的平稳周期振荡问题 ,得到了其周期解存在、唯一和全局吸引的充分条件 .
In this paper, by using the coincidence degree theory and V-functional, the stationary periodic oscillation of a class of generalized delayed Hopfield continuous neural networks with periodic inputs is studied. The sufficient and sufficient conditions for existence, uniqueness and global attractivity of periodic solutions are obtained.