Stability analysis of reaction-diffusion uncertain memristive neural networks with time-varying delays and leakage term

2016 ◽  
Vol 278 ◽  
pp. 54-69 ◽  
Author(s):  
Ruoxia Li ◽  
Jinde Cao
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Reaction Diffusion ◽  
Time Varying ◽  
Memristive Neural Networks ◽  
Leakage Term

Stability Analysis of Stochastic Fuzzy Neural Networks with Time-Varying Delays and Reaction–Diffusion Terms

2013 ◽  
Vol 33 (3) ◽  
pp. 713-732
Author(s):  
Hongyu Zhang ◽  
Chenhui Zhou ◽  
Hongbin Zhang ◽  
Qichong Tian ◽  
Gang Wang
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Reaction Diffusion ◽  
Fuzzy Neural Networks ◽  
Time Varying ◽  
Fuzzy Neural

scholarly journals Stability Analysis of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Time-Varying Delays

2009 ◽  
Vol 2009 ◽  
pp. 1-18 ◽  
Author(s):  
Chuangxia Huang ◽  
Xinsong Yang ◽  
Yigang He
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Exponential Stability ◽  
Stochastic Analysis ◽  
Lyapunov Method ◽  
Reaction Diffusion ◽  
Time Varying ◽  
Inequality Techniques ◽  
Stochastic Reaction ◽  
Moment Exponential Stability

This paper is concerned withpth moment exponential stability of stochastic reaction-diffusion Cohen-Grossberg neural networks with time-varying delays. With the help of Lyapunov method, stochastic analysis, and inequality techniques, a set of new suffcient conditions onpth moment exponential stability for the considered system is presented. The proposed results generalized and improved some earlier publications.

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