Stability analysis of Hopfield neural networks with unbounded delay driven by G-Brownian motion
Author:
Affiliation:
1. School of Mathematics, Shandong University, Jinan, People's Republic of China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shandong Province
Fudan University
Publisher
Informa UK Limited
Subject
Computer Science Applications,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00207179.2020.1775307
Reference51 articles.
1. Stability for delayed reaction–diffusion neural networks
2. Global asymptotic stability of stochastic recurrent neural networks with multiple discrete delays and unbounded distributed delays
3. Nonuniform behavior and stability of Hopfield neural networks with delay
4. Stability of stochastic delay neural networks
5. Stability in Cohen–Grossberg-type bidirectional associative memory neural networks with time-varying delays
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1. Stability for neutral-type integro-differential neural networks with random switches in noise and delay;COMPUT METHODS DIFFE;2023
2. $$\mathcal{H}_{\infty }$$ weight learning of dynamic neural networks with delay and reaction–diffusion;Indian Journal of Physics;2022-10-14
3. Almost sure exponential stability of nonlinear stochastic delay hybrid systems driven by G-Brownian motion;Boundary Value Problems;2022-10-05
4. Periodic dynamics for nonlocal Hopfield neural networks with random initial data;Journal of the Franklin Institute;2021-10
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