New criteria for global stability of neutral-type Cohen–Grossberg neural networks with multiple delays

2020 ◽  
Vol 125 ◽  
pp. 330-337 ◽  
Author(s):  
Ozlem Faydasicok
Keyword(s):  
Neural Networks ◽  
Global Stability ◽  
Neutral Type ◽  
Multiple Delays ◽  
New Criteria

Global Stability Properties for Neutral-Type Hopfield Neural Networks

2012 ◽  
Vol 232 ◽  
pp. 682-685
Author(s):  
Dao He Hao ◽  
Liang Wu
Keyword(s):  
Neural Networks ◽  
Global Stability ◽  
Neutral Type ◽  
Hopfield Neural Networks ◽  
Linear Matrix ◽  
Time Varying ◽  
Matrix Inequality ◽  
Functional Stability ◽  
Stability Properties ◽  
Linear Matrix Inequality Approach

The global stability properties was discussed for the neutral-type Hopfield neural networks with discrete and distributed time-varying delays .Based on the Lyapunov functional stability analysis and the linear matrix inequality approach, a new sufficient condition was derived to assure the global stability properties of the equilibrium. The criterion improved and extended the results of literature, and has less conservative.

scholarly journals Periodicity on Neutral-Type Inertial Neural Networks Incorporating Multiple Delays

Symmetry ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2231
Author(s):  
Jian Zhang ◽  
Ancheng Chang ◽  
Gang Yang
Keyword(s):  
Neural Networks ◽  
Stability Criterion ◽  
Lyapunov Functional ◽  
Global Exponential Stability ◽  
Neutral Type ◽  
Multiple Delays ◽  
Application Range ◽  
Research Article ◽  
Sufficient Stability ◽  
Inertial Neural Networks

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 novel sufficient stability criterion for the existence and global exponential stability of T-periodic solutions on the proposed system is obtained. In addition, an instructive numerical example is arranged to support the present approach. The obtained results broaden the application range of neutral-types inertial neural networks.

Some generalized global stability criteria for delayed Cohen–Grossberg neural networks of neutral-type

2019 ◽  
Vol 116 ◽  
pp. 198-207 ◽  
Author(s):  
Ruya Samli ◽  
Sibel Senan ◽  
Eylem Yucel ◽  
Zeynep Orman
Keyword(s):  
Neural Networks ◽  
Global Stability ◽  
Neutral Type ◽  
Stability Criteria
Sign in / Sign up

Export Citation Format

Share Document