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随机分布参数型Hopfield时滞神经网络的稳定性 被引量:2

Stability of Distributed Parameter Type Stochastic Hopfield Neural Network with Time Delay
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摘要 基于随机Fubini定理,利用关于空间变量平均的Lyapunov函数与Ito公式,研究了具时滞的分布参数型随机Hopfield神经网络的稳定性与镇定,获得了若干充分条件. This paper investigates the stability and stabilization of stochastic delay Hopfield neural networks with distributed parameters. The theoretical basement is the combination of stochastic Fubini Theorem. Averaging Lyapunov function with respect to the spatial variables and ItO formula are employed. Some sufficient conditions are obtained.
出处 《数学物理学报(A辑)》 CSCD 北大核心 2006年第6期968-977,共10页 Acta Mathematica Scientia
基金 国家自然科学基金(60574042)资助
关键词 时滞 分布参数 HOPFIELD神经网络 随机Fubini定理 稳定性 Time delay Distributed parameter Neural network Stochastic Fubini Theorem Stability.
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