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Mean square global asymptotic stability of stochastic recurrent neural networks with distributed delays |
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| Authors: | Yingxin Guo |
| Affiliation: | aDepartment of Mathematics, Qufu Normal University, Qufu, Shandong 273165, China |
| Abstract: | By constructing suitable Lyapunov functionals and combining with matrix inequality technique, a new simple sufficient condition is presented for the global asymptotic stability in the mean square of delayed neural networks. |
| Keywords: | Stochastic neural networks with delays Lyapunov functionals Matrix inequality Global asymptotic stability |
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