Paper Title:
Time-Varying Delay Global Stability of Neural Networks
  Abstract

Hopfield neural networks with variable delay stability of the equilibrium point, the delayed neural network analysis of exponential convergence rate and exponential stability. Obtained by using Lyapunov functional stability of the index to determine the conditions, the use of a number of analytical methods to study the connection weight matrix and activation function of the boundary, has been the result of system is exponentially stable, and a numerical example to prove that the method effectiveness.

  Info
Periodical
Edited by
Zhenyu Du and Bin Liu
Pages
9-12
DOI
10.4028/www.scientific.net/AMM.65.9
Citation
D. M. Huang, L. Sun, "Time-Varying Delay Global Stability of Neural Networks", Applied Mechanics and Materials, Vol. 65, pp. 9-12, 2011
Online since
June 2011
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