Applied Mathematics and Mechanics

, Volume 22, Issue 6, pp 711–716 | Cite as

Global attractivity and global exponential stability for delayed Hopfield neural network models

  • Pu Zhi-lin
  • Xu Dao-yi
Article

Abstract

Some global properties such as global attractivity and global exponential stability for delayed Hopfield neural networks model, under the weaker assumptions on nonlinear activation functions, are concerned. By constructing suitable Liapunov function, some simpler criteria for global attractivity and global exponential stability for Hopfield continuous neural networks with time delays are presented.

Key words

neural networks global attractivity global exponential stability 

CLC numbers

TN911.23 O332 

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Copyright information

© Editorial Committee of Applied Mathematics and Mechanics 2001

Authors and Affiliations

  • Pu Zhi-lin
    • 1
    • 2
  • Xu Dao-yi
    • 2
  1. 1.Department of MathematicsSichuan Normal UniversityChengduP R China
  2. 2.Department of MathematicsSichuan UniversityChengduP R China

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