Dynamic Analysis of Delayed Fuzzy Cellular Neural Networks with Time-Varying Coefficients

2009 ◽  
pp. 433-439 ◽  
Author(s):  
Manchun Tan
Keyword(s):  
Neural Networks ◽  
Dynamic Analysis ◽  
Cellular Neural Networks ◽  
Time Varying ◽  
Fuzzy Cellular Neural Networks ◽  
Varying Coefficients ◽  
Time Varying Coefficients

EXPONENTIAL CONVERGENCE BEHAVIOR OF FUZZY CELLULAR NEURAL NETWORKS WITH DISTRIBUTED DELAYS AND TIME-VARYING COEFFICIENTS

2009 ◽  
Vol 19 (07) ◽  
pp. 2455-2462 ◽  
Author(s):  
MAN-CHUN TAN
Keyword(s):  
Neural Networks ◽  
Sufficient Conditions ◽  
Cellular Neural Networks ◽  
Distributed Delays ◽  
Time Varying ◽  
Fuzzy Cellular Neural Networks ◽  
Lipschitz Continuous ◽  
Varying Coefficients ◽  
All Solutions ◽  
Time Varying Coefficients

In this paper, a class of fuzzy cellular neural networks (FCNNs) with distributed delays and time-varying coefficients is studied. By employing the mathematical analysis method, some sufficient conditions are derived for ensuring that all solutions of such FCNNs converge exponentially to zero. Both the Lipschitz continuous condition on activation functions and the differentiability of time-varying delays are not required in this study.

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