Stochastic neural networks and the weighted Hebb rule

Author(s):  
C. Marzban ◽  
R. Viswanathan
1994 ◽  
Vol 191 (1-2) ◽  
pp. 127-133 ◽  
Author(s):  
Caren Marzban ◽  
Raju Viswanathan

2015 ◽  
Vol 742 ◽  
pp. 399-403
Author(s):  
Ya Jun Li ◽  
Jing Zhao Li

This paper investigates the exponential stability problem for a class of stochastic neural networks with leakage delay. By employing a suitable Lyapunov functional and stochastic stability theory technic, the sufficient conditions which make the stochastic neural networks system exponential mean square stable are proposed and proved. All results are expressed in terms of linear matrix inequalities (LMIs). Example and simulation are presented to show the effectiveness of the proposed method.


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