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．
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.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1999年第3期34-37,共4页
Control Theory & Applications
