Title :
Stability analysis of stochastic recurrent neural networks with time-varying delays
Author :
Ding, Nan ; Wang, Linshan
Abstract :
In this paper, almost sure exponential stability of stochastic recurrent neural networks with time-varying delays was discussed. Without the differentiability of the delay functions, a new result to ensure the almost sure exponential stability of the system was obtained by using variation parameter approach and stochastic analysis.
Keywords :
asymptotic stability; delays; recurrent neural nets; stochastic processes; delay functions differentiability; exponential stability; stability analysis; stochastic analysis; stochastic recurrent neural networks; time-varying delays; variation parameter approach; Control theory; Delay; Recurrent neural networks; Stability analysis; Stochastic processes;
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-2144-1
DOI :
10.1109/ICICIP.2012.6391486
