Stability of delayed Hopfield neural networks under a sublinear expectation framework
From MaRDI portal
Publication:1644282
DOI10.1016/j.jfranklin.2018.04.007zbMath1390.93838OpenAlexW2797304858WikidataQ129985267 ScholiaQ129985267MaRDI QIDQ1644282
Publication date: 21 June 2018
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2018.04.007
Neural networks for/in biological studies, artificial life and related topics (92B20) Asymptotic stability in control theory (93D20) Stochastic stability in control theory (93E15)
Related Items
Delay feedback stabilisation of stochastic differential equations driven by G-Brownian motion ⋮ Delay-dependent asymptotic stability of highly nonlinear stochastic differential delay equations driven by \(G\)-Brownian motion ⋮ Rough path analysis for local time of G-Brownian motion ⋮ Periodic dynamics for nonlocal Hopfield neural networks with random initial data ⋮ Existence and stability of solutions to highly nonlinear stochastic differential delay equations driven by \(G\)-Brownian motion ⋮ Stability analysis of Hopfield neural networks with unbounded delay driven by G-Brownian motion
Cites Work
- Unnamed Item
- Unnamed Item
- Input-to-state stability of impulsive stochastic delayed systems under linear assumptions
- Lyapunov-type conditions and stochastic differential equations driven by \(G\)-Brownian motion
- Mean square stability of two classes of theta method for neutral stochastic differential delay equations
- Integration with respect to the \(G\)-Brownian local time
- Exponential input-to-state stability of stochastic Cohen-Grossberg neural networks with mixed delays
- Stopping times and related Itô's calculus with \(G\)-Brownian motion
- Function spaces and capacity related to a sublinear expectation: application to \(G\)-Brownian motion paths
- Almost sure exponential stability of numerical solutions to stochastic delay Hopfield neural networks
- Local time and Tanaka formula for the \(G\)-Brownian motion
- Exponential stability for stochastic differential equation driven by G-Brownian motion
- Pathwise properties and homeomorphic flows for stochastic differential equations driven by \(G\)-Brownian motion
- Exponential stability of stochastic delayed Hopfield neural networks
- Global stability analysis of impulsive Cohen-Grossberg neural networks with delay
- Exponential stability of numerical solutions to stochastic delay Hopfield neural networks
- On global asymptotic stability of recurrent neural networks with time-varying delays.
- Successive approximation of SFDEs with finite delay driven by \(G\)-Brownian motion
- Global exponential stability of high order Hopfield type neural networks
- Neural networks and physical systems with emergent collective computational abilities.
- Stability of stochastic delay neural networks
This page was built for publication: Stability of delayed Hopfield neural networks under a sublinear expectation framework
