Title :
Stability in distribution of Hopfield Stochastic neural networks with Markovian switching
Author_Institution :
Sch. of Math. & Stat., Hubei Normal Univ., Huangshi, China
Abstract :
This paper deals with the stability in distribution of Hopfield Stochastic neural networks with Markovian switching. By the use of the contraction of diffusion semigroup with to Lipschitz constant and coupling technique we obtain some sufficient conditions for the existence and uniqueness of stationary distribution and stability in distribution.
Keywords :
Hopfield neural nets; Markov processes; group theory; stability; Hopfield stochastic neural networks; Lipschitz constant; Markovian switching; coupling technique; diffusion semigroup; distribution existence; distribution stability; distribution uniqueness; sufficient condition; Algebra; Couplings; Discrete wavelet transforms; Markov processes; Measurement; Neural networks; Switches;
Conference_Titel :
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-61284-374-2
DOI :
10.1109/IWACI.2011.6160075
