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Mean square exponential stability of stochastic recurrent neural networks with time-varying delays

โœ Scribed by Chuangxia Huang; Yigang He; Hainu Wang

Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
288 KB
Volume
56
Category
Article
ISSN
0898-1221

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โœฆ Synopsis

The stability of a class of stochastic Recurrent Neural Networks with time-varying delays is investigated in this paper. With the help of the Lyapunov function and the Dini derivative of the expectation of V (t, X (t)) ''along'' the solution X (t) of the model, a set of novel sufficient conditions on mean square exponential stability has been established. An example is also given to illustrate the effectiveness of our results.

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