@inproceedings{4f0f032680d14546a12bd3732ca81c6e,
title = "A new stability criterion of stochastic neural networks with delays",
abstract = "This paper investigates the problem of mean-square asymptotic stability of uncertain neural networks with time-varying delay and stochastic noise. Based on generalized Finsler lemma and the linear matrix inequality (LMI) optimization technique, an improved delay-dependent stability criterion is developed. It is shown that the new stability criterion is less conservative and less computationally complex than the existing stability conditions. A numerical example is presented to substantiate the effectiveness of the theoretical results.",
keywords = "neural networks (computer science), stability, stochastic noise, time-varying delays",
author = "Yun Chen and Zheng, {Wei Xing}",
year = "2012",
doi = "10.1109/CDC.2012.6426757",
language = "English",
isbn = "9781467320641",
publisher = "IEEE",
pages = "5386--5391",
booktitle = "51st IEEE Conference on Decision and Control: December 10-13, 2012, Maui, Hawaii, USA",
note = "IEEE Conference on Decision & Control ; Conference date: 10-12-2012",
}