中文摘要：

研究了-类具有时变时滞的忆阻Cohen -Grossberg神经网络的周期动力行为.借助M- 矩阵理论,微 分包含理论和Mawhm - Uke收敛定理,证明了网络系统周期解的存在性.最后,用-个数值算例验证了本文结论的正确性和可行性,并通过图形模拟直观地描述了周期解和平衡点的存在性.

英文摘要：

The objective of this paper is to investigate the periodic dynamical behaviors for a class of Memristive Cohen - Grossberg neural networks with time - varying delays. By employing M - matrix theory, differential inclusions theory and the Mawhin - like coin-cidence theorem in set - valued analysis, the existence of the periodic solution for the network system was proved. Finally, an illustra-ive example was given to demonstrate the validity of the theoretical results and the existence of periodic solution and equilibrium point was described visually by graphical simulation.