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Exponential stability for stochastic delayed recurrent neural networks with mixed time-varying delays and impulses: the continuous-time case

โœ Scribed by Karthik Raja, U; Raja, R; Samidurai, R; Leelamani, A

Book ID
120787895
Publisher
Royal Swedish Academy of Sciences
Year
2013
Tongue
English
Weight
277 KB
Volume
87
Category
Article
ISSN
0031-8949

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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 o