A delayed neural network method for solving convex optimization problems

被引：15

作者：

Yang, Yongqing ^{[1
]}

Cao, Jinde

机构：

[1] Southeast Univ, Dept Math, Nanjing 210096, Peoples R China

[2] So Yangtze Univ, Sch Sci, Wuxi 214122, Peoples R China

来源：

INTERNATIONAL JOURNAL OF NEURAL SYSTEMS | 2006年 / 16卷 / 04期

基金：

中国国家自然科学基金;

关键词：

global exponential stability; delayed projection neural network; convex programming;

D O I：

10.1142/S012906570600069X

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, the delayed projection neural network for a class of solving convex programming problem is proposed. The existence of solution and global exponential stability of the proposed network are proved, which can guarantee to converge at an exact optimal solution of the convex programming problems. Several examples are given to show the effectiveness of the proposed network.

引用

页码：295 / 303

页数：9

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