Stochastic Neural Networks for Modelling Random Processes from Observed Data

2016 ◽  
pp. 83-107
Author(s):  
Hong Ling ◽  
Sandhya Samarasinghe ◽  
Don Kulasiri
Keyword(s):  
Neural Networks ◽  
Random Processes ◽  
Stochastic Neural Networks

Exponential Stability for Stochastic Neural Networks with Time-Varying Delay and Leakage Delay

2015 ◽  
Vol 742 ◽  
pp. 399-403
Author(s):  
Ya Jun Li ◽  
Jing Zhao Li
Keyword(s):  
Neural Networks ◽  
Exponential Stability ◽  
Sufficient Conditions ◽  
Leakage Delay ◽  
Linear Matrix ◽  
Stochastic Neural Networks ◽  
Time Varying ◽  
Matrix Inequalities ◽  
Time Varying Delay ◽  
Varying Delay

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.

Robust stability analysis of stochastic neural networks with Markovian jumping parameters and probabilistic time-varying delays

Complexity ◽  
2014 ◽  
Vol 21 (5) ◽  
pp. 59-72 ◽  
Author(s):  
Chandrasekar Pradeep ◽  
Arunachalam Chandrasekar ◽  
Rangasamy Murugesu ◽  
Rajan Rakkiyappan
Keyword(s):  
Neural Networks ◽  
Stability Analysis ◽  
Robust Stability ◽  
Stochastic Neural Networks ◽  
Time Varying ◽  
Markovian Jumping Parameters ◽  
Markovian Jumping ◽  
Robust Stability Analysis
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