西华大学学报（自然科学版）2017，Vol.36Issue(5)：22-30,35,10.DOI:10.3969/j.issn.1673-159X.2017.05.004
时滞忆阻Cohen-Grossberg神经网络周期解的存在性
Existence of Periodic Solutions for Memristive Cohen-Grossberg Neural Networks with Delays
摘要
Abstract
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-tive 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.关键词
忆阻/Cohen-Grossberg神经网络/周期解/时变时滞Key words
memristor/Cohen-Grossberg neural networks/periodic solution/time-varying delays分类
信息技术与安全科学引用本文复制引用
王有刚,武怀勤..时滞忆阻Cohen-Grossberg神经网络周期解的存在性[J].西华大学学报（自然科学版）,2017,36(5):22-30,35,10.基金项目
国家自然科学基金资助项目(71071133). （71071133）
