Synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded delays.
basic_science · Level V
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- Record sourced from PubMed, PMID 28552508.
- Also identified by DOI 10.1016/j.neunet.2017.05.002.
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Abstract
In this paper, synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded discrete time-varying delays is investigated. By virtue of theories of partial differential equations, inequality methods, and stochastic analysis techniques, pth moment exponential synchronization and almost sure exponential synchronization of the underlying neural networks are developed. The obtained results in this study enhance and generalize some earlier ones. The effectiveness and merits of the theoretical criteria are substantiated by two numerical simulations.
Medical subject headings
- Neural Networks, Computer
- Stochastic Processes