Global attractivity in delayed Hopfield neural network models

被引:0
|
作者
Univ of Victoria, Victoria, Canada [1 ]
机构
来源
SIAM J Appl Math | / 6卷 / 1878-1890期
关键词
D O I
暂无
中图分类号
学科分类号
摘要
28
引用
收藏
相关论文
共 50 条
  • [31] Global attractivity for a class of delayed discrete SIRS epidemic models with general nonlinear incidence
    Teng, Zhidong
    Wang, Lei
    Nie, Linfei
    MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2015, 38 (18) : 4741 - 4759
  • [32] Hopfield Neural Network
    Massini, G
    SUBSTANCE USE & MISUSE, 1998, 33 (02) : 481 - 488
  • [33] Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks
    Vimal Singh
    Neural Processing Letters, 2008, 27 : 257 - 265
  • [34] Delay-dependent global stability condition for delayed Hopfield neural networks
    Zhang, Qiang
    Wei, Xiaopeng
    Xu, Jin
    NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 2007, 8 (03) : 997 - 1002
  • [35] An estimation of upperbound of delays for global asymptotic stability of delayed Hopfield neural networks
    Chen, AP
    Cao, JD
    Huang, LH
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2002, 49 (07) : 1028 - 1032
  • [36] Improved global robust stability for interval-delayed hopfield neural networks
    Singh, Vimal
    NEURAL PROCESSING LETTERS, 2008, 27 (03) : 257 - 265
  • [37] Some sufficient conditions for global exponential stability of delayed Hopfield neural networks
    Lu, HT
    Chung, FL
    He, ZY
    NEURAL NETWORKS, 2004, 17 (04) : 537 - 544
  • [38] Global attractivity and forward neural networks
    Martelli, M
    Johnston, B
    APPLIED MATHEMATICS LETTERS, 1996, 9 (04) : 77 - 83
  • [39] Delay-dependent global stability results for delayed Hopfield neural networks
    Zhang, Qiang
    Wei, Xiao Peng
    Xu, Jin
    CHAOS SOLITONS & FRACTALS, 2007, 34 (02) : 662 - 668
  • [40] Linear and Nonlinear Electrical Models of Neurons for Hopfield Neural Network
    Sarwar, Farah
    Iqbal, Shaukat
    Hussain, Muhammad Waqar
    ZEITSCHRIFT FUR NATURFORSCHUNG SECTION A-A JOURNAL OF PHYSICAL SCIENCES, 2016, 71 (11): : 995 - 1002