Acta mathematica scientia,Series A ›› 2000, Vol. 20 ›› Issue (3): 400-404.

• Articles • Previous Articles     Next Articles

Exponential Stability of Hopfield-Type Stochastic Neural Networks with Variable Delays
 

  

  1. (Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074)
  • Online:2000-05-12 Published:2000-05-12

Abstract:

paper we investigate the exponential stability of Hopfield-type stochastic neural networks with variable delays, By using the Razumikhin theorems and Lyapunov functions, we present two types of criteria for the exponential stability in the mean square and almost surely exponential stability of Hopfield-type neural networks. One type involves delay dependent results while the other type involves delay independent results.

 

Key words: Neuralnetwork, Exponentialstability, Razumikhintheorem, Lyapunovfunction

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