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多时滞环状神经网络的稳定性 被引量:5

Stability of a Ring Neural Network with Delays
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摘要 本文针对—个带自反馈的多时滞环状神经网络系统,给出了系统平凡解稳定与不稳定的条件,讨论了平凡解对应特征方程在不同参数条件下的正实部根的个数以及正实部根个数随参数变动的变化规律. A system of ring neural network with self-feedback and multiple delays is considered. Conditions for the stability and unstability of the trivial solution of this system are represented in a parameter space. Under different conditions of parameters, we investigate that the number of eigenvalues with positive real part of the characteristic equation of the trivial solution and how the number changes.
出处 《应用数学学报》 CSCD 北大核心 2007年第4期707-718,共12页 Acta Mathematicae Applicatae Sinica
基金 国家自然科学基金(10371034) 教育部博士点研究基金(20050532023).
关键词 神经网络 时滞微分方程 线性稳定性 正实部根个数 neural network delay differential equation linear stability the number of eigenvalues with real part
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参考文献17

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同被引文献27

  • 1徐鉴,裴利军.时滞系统动力学近期研究进展与展望[J].力学进展,2006,36(1):17-30. 被引量:65
  • 2黄萍,张许杰,刘刚.小世界网络的研究现状与展望[J].情报杂志,2007,26(4):66-68. 被引量:33
  • 3Hopfield J J.Neurons with graded response have collective computational properties like those of two-state neurons.Proc Natl Acad Sci (USA),1984,81:3088-3092.
  • 4Anderson P,Gross O,Lomo T,et al.Participation of Inhibitory Interneruons in the Control of Hippocampal Cortical Output//M Brazier,Ed.The Interneuron.Los Angeles:University of California Press,1969.
  • 5Eccles J C,Ito M,Szenfagothai J.The Cerebellum as Neuronal Machine.New York:Springer,1967.
  • 6Szenfagothai J.The "module-concept" in cerebral cortex architecture.Brain Research,1967,95:475-496.
  • 7Pakdaman K,Grotta-Ragazzo C,Malta C P,Arino O,Vibert J-F.Transient oscillations in continuous-time excitatory ring neural networks with delay.Physical Review E,1997,55:3234-3247.
  • 8Othmer H G,Scriven L E.Instability and dynamics pattern in cellular networks.J Theoret Biol,1971,32:507 537.
  • 9Smale S.A mathematical model of two cells via Turing's equation.AMS Lecture Notes on Mathematics in the Life Science,1974,6:15-26.
  • 10Shayer L P,Campbell S A.Stability,bifurcation and multistability in a system of two coupled neurons with multiple time delays.SIAM J Appl Math,2000,61:673-700.

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