Mean square global asymptotic stability of stochastic recurrent neural networks with distributed delays
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摘要
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.
论文关键词：Stochastic neural networks with delays,Lyapunov functionals,Matrix inequality,Global asymptotic stability
论文评审过程：Available online 9 June 2009.
论文官网地址：https://doi.org/10.1016/j.amc.2009.06.002
