DocumentCode
3418291
Title
Stability in distribution of Hopfield Stochastic neural networks with Markovian switching
Author
Xu, Lifeng
Author_Institution
Sch. of Math. & Stat., Hubei Normal Univ., Huangshi, China
fYear
2011
fDate
19-21 Oct. 2011
Firstpage
582
Lastpage
585
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Computational Intelligence (IWACI), 2011 Fourth International Workshop on
Conference_Location
Wuhan
Print_ISBN
978-1-61284-374-2
Type
conf
DOI
10.1109/IWACI.2011.6160075
Filename
6160075
Link To Document