Exponential stability of stochastic static neutral neural networks with varying delays

This paper is concerned with exponential stability in mean square for stochastic static neutral neural networks with varying delays. By using Lyapunov functional method and with the help of stochastic analysis technique, the sufficient conditions to guarantee the exponential stability in mean square for the neural networks are obtained and some results of related literature are extended.

Automated summary

This paper investigates the exponential stability in mean square for stochastic static neutral neural networks with varying delays. By using the Lyapunov functional method and stochastic analysis technique, the paper obtains the sufficient conditions to guarantee the exponential stability in mean square for the neural networks and extends some results of related literature.