Name
Title | ||
|---|---|---|
Global mean square exponential synchronization of stochastic neural networks with time-varying delays |
Abstract | ||
|---|---|---|
In this paper, we study the global mean square exponential synchronization of stochastic neural networks with time-varying delays (MSDNN). Two types of control scheme are served to synchronize a sort of MSDNN. A variety of synchronization qualifications depended on system structure are established by the means of Lyapunov function and itô formula. Some statistical examples are supplied to authenticate the results. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/ICACI.2017.7974494 | 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) |
Keywords | Field | DocType |
stochastic systems,global mean square exponential synchronization,neural networks | Mean square,Lyapunov function,Applied mathematics,Synchronization,System structure,Control theory,Stochastic neural network,sort,Itō's lemma,Exponential synchronization,Mathematics | Conference |
ISBN | Citations | PageRank |
978-1-5090-4727-7 | 0 | 0.34 |
References | Authors | |
12 | 3 | |