Existence and global stability of periodic solution for delayed discrete high-order Hopfield-type neural networks

Hong Xiang, Ke-Ming Yan and Bai-Yan Wang

Discrete Dynamics in Nature and Society, 2005, vol. 2005, 1-17

Abstract:

By using coincidence degree theory as well as a priori estimates and Lyapunov functional, we study the existence and global stability of periodic solution for discrete delayed high-order Hopfield-type neural networks. We obtain some easily verifiable sufficient conditions to ensure that there exists a unique periodic solution, and all theirs solutions converge to such a periodic solution.

Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:790507

DOI: 10.1155/DDNS.2005.281

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