Anti-periodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks with Delays

@inproceedings{Li2010AntiperiodicSF,
  title={Anti-periodic Solutions for Cohen-Grossberg Shunting Inhibitory Neural Networks with Delays},
  author={Yongkun Li and Tianwei Zhang and Shufa Bai},
  year={2010}
}
By using the method of coincidence degree theory and constructing suitable Lyapunov functional, several sufficient conditions are established for the existence and global exponential stability of anti-periodic solutions for Cohen-Grossberg shunting inhibitory neural networks with delays. An example is given to illustrate our feasible results. Keywords—Anti-periodic solution; Coincidence degree; Global exponential stability; Cohen-Grossberg shunting inhibitory cellular neural networks. 

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Anti-Periodic Solutions for Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays

  • 2010 2nd International Conference on Information Engineering and Computer Science
  • 2010
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