S 分布时滞随机竞争神经网络的均方指数鲁棒稳定性研究
S 분포시체수궤경쟁신경망락적균방지수로봉은정성연구
Exponential Robust Stability Research in the Mean Square for Stochastic Competitive Neural Networks with S type Distributed Delays
  • 万方数据
    滨州学院学报 빈주학원학보
    JOURNAL OF BINZHOU UNIVERSITY
    2014年 3期 6-11 ,共6页

    杨彬%王林山

    양빈%왕림산

    随机竞争神经网络%S分布时滞%Lyapunov 泛函%均方指数鲁棒稳定性 隨機競爭神經網絡%S分佈時滯%Lyapunov 汎函%均方指數魯棒穩定性
    수궤경쟁신경망락%S분포시체%Lyapunov 범함%균방지수로봉은정성
    stochastic competitive neural networks%S type distributed delays%Lyapunov functional%exponential robust stability
    讨论了 S 分布时滞随机竞争神经网络模型解的存在性和渐近行为，运用 Lyapunov泛函方法和随机分析技巧，研究了网络的均方指数鲁棒稳定性，给出了易于验证的稳定性判据。
    토론료 S 분포시체수궤경쟁신경망락모형해적존재성화점근행위，운용 Lyapunov범함방법화수궤분석기교，연구료망락적균방지수로봉은정성，급출료역우험증적은정성판거。
    Existence and asymptotic behavior of solutions to stochastic competitive neural networks models with S type distributed delays are discussed in this paper.Criteria for exponential robust stabili-ty in the mean square is given by Lyapunov functional methods and stochastic analysis technique.
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