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延迟离散Hopfield网络的稳定性条件 被引量:3

Stability Conditions for Discrete Hopfield Neural Networks with Delay
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摘要 主要利用状态转移方程和定义能量函数的方法对具有时延的离散Hopfield神经网络的动力学行为进行了研究 ,并且获得了若干稳定性结果 .给出了延迟离散Hopfield神经网络收敛于周期为 4的极限环的一个充分条件 ,获得了延迟网络有稳定状态的条件 ,并且得到了延迟网络既没有稳定状态也没有周期为 2的极限环的条件 .同时 ,这些结果用两个例子进行了验证 .这些结果推广了一些已有的离散Hopfield神经网络的稳定性结果 . The dynamic behavior of discrete Hopfield neural networks with delay is mainly studied by the use of the state transition equation and the energy function, and some results on stability are given. The sufficient conditions for the networks with delay converging towards a limit cycle of length 4, having a stable state, and neither having a stable state nor a limit cycle of length 2 are presented. Also, the obtained results are validated by giving two examples. The obtained results here extend some existing results on stability of discrete Hopfield neural network.
出处 《电子学报》 EI CAS CSCD 北大核心 2004年第10期1674-1677,共4页 Acta Electronica Sinica
基金 中国博士后科学基金 (No .2 0 0 30 3351 6) 国家自然科学基金 优秀创新研究群体基金 (No .70 1 2 1 0 0 1 )
关键词 稳定性条件 极限环 延迟 收敛 充分条件 离散HOPFIELD神经网络 周期 HOPFIELD网络 能量函数 时延 Convergence of numerical methods Mathematical models Stability Theorem proving
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参考文献5

  • 1Hopfield J J.Neural networks and physical systems emergent collective computational abilities[J].Proc.Nat.Acad.Sci.USA,1982,79(4):2554-2558.
  • 2Bruck J,Goodman J W.A generalized convergence theorem for neural networks[J].IEEE Trans Inform.Theory,1988,34(5):1089-1092.
  • 3Xu Z B,Kwong C P.Global convergence and asymptotic stability of asymmetrical Hopfield neural networks[J].Journal of Mathematical Analysis and Applications,1995,191(5):405-420.
  • 4Lee D L.New stability conditions for Hopfield neural networks in partial simultaneous update mode[J].IEEE Trans.Neural Networks,1999,10(4):975-978.
  • 5Goles E.Antisymmetrical neural networks[J].Discrete Applied Mathematics,1986,13(1):97-100.

同被引文献13

  • 1马润年,席酉民,郭菊娥.离散Hopfield网络的渐近行为[J].控制与决策,2005,20(2):230-233. 被引量:2
  • 2周伦,徐清舟.对一离散Hopfield神经网络稳定性定理的补充[J].许昌学院学报,2006,25(5):26-28. 被引量:3
  • 3Hopfield J J. Neural networks and physical systems emergent collective computational abilities [ J]. Proc. Nat. Acad. Sci. USA, 1982,79(4) :2554-2558.
  • 4Bruck J. Goodman J W. A generalized convergence theorem for neural networks for neural networks[ J]. IEEE Trans Inform. Theory, 1988,34(5 ) : 1089 - 1092.
  • 5Xu Z B, Kwong C P. Global convergence and asymptotic stability of asymmetrical Hopfield neural networks [ J ]. Journal of Mathematical Analysis and Applications, 1995,191 (5) :405 -420.
  • 6Lee D L. New stability conditions for Hopfield neural networks in par-tial simultaneous update mode [ J ]. IEEE Trans. Neural Networks, 1999,10 (4) :975 - 978.
  • 7Shenshan Qiu, Erie C. C. Tsang and Daniel S. Yeung. Stability of discrete Hopified neural networks with time-delay. Systems, Man, and Cybernetics, 2000 IEEE International Conference. 2002 (4) :2545 - 2550.
  • 8Tsang, E. C. C. ;Chan, A. P. F. ; Yeung, D. S. ; Qiu, S: S. Stability analysis of discrete Hopfield neural networks with delay and its application. Systems, Man and Cybernetics, 2005 IEEE International Conference. 2005 (2) : 1017 - 1023.
  • 9许进,保铮.反对称离散Hopfield网络的稳定性理论[J].电子学报,1999,27(1):93-97. 被引量:15
  • 10邱深山,徐晓飞,李春生,刘明珠.延迟离散神经网络动态特征的矩阵判据[J].软件学报,1999,10(10):1108-1113. 被引量:6

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