| 引用本文: | 冯昭枢，王 建，刘洪伟，刘永清.随机Hopfiedld神经网络的稳定性分析[J].控制理论与应用,1999,16(3):345~348.[点击复制] |
| FengZhaoshu, Wang Jian, Liu Hongwei and Liu Yongqing.Stability Analysis of Random Hopfield Neural Networks[J].Control Theory and Technology,1999,16(3):345~348.[点击复制] |
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| 随机Hopfiedld神经网络的稳定性分析 |
| Stability Analysis of Random Hopfield Neural Networks |
| 摘要点击 988 全文点击 392 投稿时间：1996-05-13 修订日期：1998-05-11 |
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| DOI编号 |
| 1999,16(3):345-348 |
| 中文关键词 神经网络 Hopfield模型 稳定性 随机微分方程 |
| 英文关键词 neural networks Hopfield model stability stochastic differential equations |
| 基金项目 |
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| 中文摘要 |
| 通过利用动态大规模互连系统的分解方法，对由Ito随机微分方程描述的随机Hopfield神经网络给出了稳定性分析。这样的神经网络被认为是许多神经元的一个互连。在本文中给出的稳定性结论是以单个神经元和互连结构的性质来表示的。 |
| 英文摘要 |
| In this paper,by applying the decomposition method of dynamic large-scale interconnected systems, a stability analysis is given for the random Hopfield neural networks described by Ito stochastic differential equations. Such neural networks are viewed as an interconnection of many single neurons. Stability results given in this paper are phrased in terms of the qualitative properties of the individual neurons and in terms of the properties of the interconnecting structure of the neural networks. |