Title :
On existence and uniqueness of stationary distribution of Hopfield Stochastic neural networks with Markovian switching
Author_Institution :
Sch. of Math. & Stat., Hubei Normal Univ., Huangshi, China
Abstract :
This paper considers the Hopfield Stochastic neural networks with Markovian switching which is perturbed by Ganssian type noise. Using Lyapunov´s method and the coupling technique, some new criterion on the existence and uniqueness of stationary distribution are obtained.
Keywords :
Hopfield neural nets; Lyapunov methods; Markov processes; stochastic systems; Ganssian type noise; Hopfield Stochastic neural networks; Lyapunov method; Markovian switching; coupling technique; stationary distribution existence; stationary distribution uniqueness; Asymptotic stability; Couplings; Differential equations; Markov processes; Neural networks; Probability; Switches;
Conference_Titel :
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location :
Hubei
Print_ISBN :
978-1-4577-0343-0
DOI :
10.1109/ICIST.2012.6221631
