文章基本信息

标题：Existence and Exponential Stability of Periodic Solution of High-Order Hopfield Neural Network with Delays on Time Scales
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作者：Yongkun Li ; Lili Zhao ; Ping Liu 等
期刊名称：Discrete Dynamics in Nature and Society
印刷版ISSN：1026-0226
电子版ISSN：1607-887X
出版年度：2009
卷号：2009
DOI：10.1155/2009/573534
出版社：Hindawi Publishing Corporation
摘要：On time scales, by using the continuation theorem of coincidence degree theory and constructing some suitable Lyapunov functions, the periodicity and the exponential stability are investigated for a class of delayed high-order Hopfield neural networks (HHNNs), which are new and complement of previously known results. Finally, an example is given to show the effectiveness of the proposed method and results.