Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms

2006 ◽  
pp. 153-158
Author(s):  
Jianlong Qiu ◽  
Jinde Cao
Keyword(s):  
Neural Networks ◽  
Neutral Type ◽  
Reaction Diffusion ◽  
Asymptotical Stability ◽  
Global Asymptotical Stability ◽  
Delayed Neural Networks

scholarly journals Global Asymptotical Stability of Neutral-Type Neural Networks with D-Operator and Mixed Delays

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Qing Yang ◽  
Bo Du ◽  
Xiwang Cheng
Keyword(s):  
Neural Networks ◽  
Periodic Solutions ◽  
Neutral Type ◽  
Sufficient Conditions ◽  
Asymptotical Stability ◽  
Mixed Delays ◽  
Global Asymptotical Stability ◽  
Numerical Example ◽  
The Stability ◽  
Theoretical Results

In this manuscript, we investigate the stability problems of neutral-type neural networks with D-operator and mixed delays. Some sufficient conditions are obtained for guaranteeing the existence, uniqueness, and global asymptotical stability of periodic solutions to the considered neural networks. Finally, a numerical example is performed to illustrate the theoretical results.

Exponential convergence rate estimation for uncertain delayed neural networks of neutral type

2009 ◽  
Vol 40 (5) ◽  
pp. 2491-2499 ◽  
Author(s):  
Chang-Hua Lien ◽  
Ker-Wei Yu ◽  
Yen-Feng Lin ◽  
Yeong-Jay Chung ◽  
Long-Yeu Chung
Keyword(s):  
Neural Networks ◽  
Convergence Rate ◽  
Exponential Convergence ◽  
Neutral Type ◽  
Delayed Neural Networks ◽  
Rate Estimation ◽  
Exponential Convergence Rate
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