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Research on the Influence of Noise to Weak Signal Detection Based on Duffing Equation
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Time-Varying Delay Global Stability of Neural Networks
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Time-Varying Delay Global Stability of Neural Networks

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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.

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Periodical:

Applied Mechanics and Materials (Volume 65)

Pages:

9-12

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.65.9

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Cite this paper

Online since:

June 2011

Authors:

Dong Ming Huang, Lei Sun

Keywords:

Lyapunov-Functional, Neural Network (NN), Stability, Time-Varying Delay

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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