Periodicity on Neutral-Type Inertial Neural Networks Incorporating Multiple Delays
The classical Hopefield neural networks have obvious symmetry, thus the study related to its dynamic behaviors has been widely concerned. This research article is involved with the neutral-type inertial neural networks incorporating multiple delays. By making an appropriate Lyapunov functional, one...
Saved in:
Main Authors: | Jian Zhang, Ancheng Chang, Gang Yang |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/bfc8df7044f1400a9dd4ed946af501c0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Matrix Measure Strategies for Stabilization of Delayed Inertial Neural Networks via Intermittent Control
by: Xuan Chen, et al.
Published: (2021) -
Stability in totally nonlinear neutral differential equations with variable delay using fixed point theory
by: Ardjouni,Abdelouaheb, et al.
Published: (2015) -
Periodicity and stability in neutral nonlinear differential equations by Krasnoselskii’s fixed point theorem
by: Mansouri,Bouzid, et al.
Published: (2017) -
Exponential Stability of laminated beam with constant delay feedback
by: Kassimu Mpungu, et al.
Published: (2021) -
Existence Results for Some Neutral Partial Functional Differential Equations of Fractional order with State-Dependent Delay
by: Benchohra,Mouffak, et al.
Published: (2014)