Existence and stability results for multi-time scale stochastic fractional neural networks

Existence and stability results for multi-time scale stochastic fractional neural networks

Abstract We apply the tools of functional analysis to investigate the existence and uniqueness of solutions for multi-scale stochastic fractional neutral networks. By constructing a descent Lyapunov functional, the asymptotic stability of the solution of the given problem is also studied. Finally, w...

Full description

Bibliographic Details
Main Authors: Dehua Wang, Xiao-Li Ding, Bashir Ahmad
Format: Article
Language:English
Published: SpringerOpen 2019-10-01
Series:Advances in Difference Equations
Subjects:
Multi-time scale stochastic fractional neutral networks
Existence and uniqueness of solutions
Asymptotic stability
Online Access:http://link.springer.com/article/10.1186/s13662-019-2368-x

Internet

http://link.springer.com/article/10.1186/s13662-019-2368-x

Similar Items