Journal of Hebei University(Natural Science Edition) >

2006 , Vol. 26 >Issue 2: 123 - 126,138

DOI: https://doi.org/10.3969/j.issn.1000-1565.2006.02.004

On Global Exponential Stability of Recurrent Neural Networks with Time-varying Delays

  • WANG Pei-guang ,
  • WANG Ning ,
  • BAO Jun-yan
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Online published: 2006-03-25

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WANG Pei-guang , WANG Ning , BAO Jun-yan . On Global Exponential Stability of Recurrent Neural Networks with Time-varying Delays[J]. Journal of Hebei University(Natural Science Edition), 2006 , 26(2) : 123 -126,138 . DOI: 10.3969/j.issn.1000-1565.2006.02.004

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[3] Jinde Cao. A set of stability criteria for delayed cellular neural networks [J]. IEEE Transactions on Circuits and Systems.I.Fundamental Theory and Applications 2001, 4(4).
[4] Cao J, Wang J. Absolute exponential stability of recurrent neural networks with Lipschitz-continuous activation functions and time delays. [J]. Neural Networks: The Official Journal of the International Neural Network Society 2004, 3(3).
[5] Senan S., Arik S.. New results for exponential stability of delayed cellular neural networks [J]. IEEE Transactions on Circuits and Systems, II. Express briefs 2005, 3(3).
[6] Cao JD.. Global asymptotic stability of delayed bi-directional associative memory neural networks [J]. Applied mathematics and computation 2003, 2/3(2/3).
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