Supported by the National Natural Science Foundation of People’s Republic of China(61164004,61473244,11402223);Natural Science Foundation of Xinjiang(2013211B06);Project funded by China Postdoctoral Science Foundation(2013M540782 and 2014T70953);Natural Science Foundation of Xinjiang University(BS120101);Specialized Research Fund for the Doctoral Program of Higher Education(20136501120001)
a mathematical model of nonautonomous Cohen-Grossberg neural networks with delays is proposed by constructing appropriate Lyapunov functional and using some inequality techniques. Su?cient condition is given to guarantee existence and global exponential stability of periodic solutions for Cohen-Grossberg neural networks with delays. Furthermore
an example is given to demonstrate the e?ectiveness of the theoretical results.
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references
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