Robust stability for interval Hopfield neural networks with time delay

被引：252

作者：

Liao, XF ^{[1
]}

Yu, JB ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Dept Optoelect Technol, Chengdu 610054, Peoples R China

来源：

IEEE TRANSACTIONS ON NEURAL NETWORKS | 1998年 / 9卷 / 05期

关键词：

interval Hopfield neural network; robust stability; time delay;

D O I：

10.1109/72.712187

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The conventional Hopfield neural network with time delay is intervalized to consider the bounded effect of deviation of network parameters and perturbations yielding a novel interval dynamic Hopfield neural network (IDHNN) model. A sufficient condition related to the existence of unique equilibrium point and its robust stability is derived.

引用

页码：1042 / 1045

页数：4

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