中国物理B ›› 2008, Vol. 17 ›› Issue (1): 125-128.doi: 10.1088/1674-1056/17/1/022
More relaxed condition for dynamics of discrete time delayed Hopfield neural networks
张强
- Liaoning Key Laboratory of Intelligent Information Processing, Dalian University, Dalian 116622, China
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出版日期:2008-01-20发布日期:2008-01-20 -
基金资助:Project supported by the Program for New Century Excellent Talents in University (Grant No NCET-06-0298), the Program for Liaoning Excellent Talents in University (Grant No RC-05-07), the Program for Study of Science of the Educational Department of Liaon
More relaxed condition for dynamics of discrete time delayed Hopfield neural networks
Zhang Qiang(张强)†
- Liaoning Key Laboratory of Intelligent Information Processing, Dalian University, Dalian 116622, China
-
Online:2008-01-20Published:2008-01-20 -
Supported by:Project supported by the Program for New Century Excellent Talents in University (Grant No NCET-06-0298), the Program for Liaoning Excellent Talents in University (Grant No RC-05-07), the Program for Study of Science of the Educational Department of Liaon
摘要： The dynamics of discrete time delayed Hopfield neural networks is investigated. By using a difference inequality combining with the linear matrix inequality, a sufficient condition ensuring global exponential stability of the unique equilibrium point of the networks is found. The result obtained holds not only for constant delay but also for time-varying delays.
中图分类号: (Nonlinear dynamics and chaos)
- 05.45.-a
引用本文
张强. More relaxed condition for dynamics of discrete time delayed Hopfield neural networks[J]. 中国物理B, 2008, 17(1): 125-128.
Zhang Qiang(张强). More relaxed condition for dynamics of discrete time delayed Hopfield neural networks[J]. Chin. Phys. B, 2008, 17(1): 125-128.
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