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
โฆ LIBER โฆ
Mean-square exponential stability of stochastic Hopfield neural networks with time-varying discrete and distributed delays
โ Scribed by Li Ma; Feipeng Da
- Book ID
- 108241492
- Publisher
- Elsevier Science
- Year
- 2009
- Tongue
- English
- Weight
- 206 KB
- Volume
- 373
- Category
- Article
- ISSN
- 0375-9601
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