aDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China
bDepartment of Mathematics, Xinjiang Normal University, Urumqi 830054, PR China
Abstract:
In this paper, stochastic bidirectional associative memory neural networks model with delays is considered. By constructing Lyapunov functionals, and using stochastic analysis method and inequality technique, we give some sufficient criteria ensuring almost sure exponential stability, pth exponential stability and mean value exponential stability. The obtained criteria can be used as theoretic guidance to stabilize neural networks in practical applications when stochastic noise is taken into consideration.