Exponential Stability and Numerical Methods of Stochastic Recurrent Neural Networks with Delays
Exponential stability in mean square of stochastic delay recurrent neural networks is investigated in detail. By using Itô’s formula and inequality techniques, the sufficient conditions to guarantee the exponential stability in mean square of an equilibrium are given. Under the conditions which guar...
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| Main Authors: | Shifang Kuang, Yunjian Peng, Feiqi Deng, Wenhua Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/761237 |
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