A neural network algorithm for second-order conic programming

被引：0
|
作者：
Mu, XW [1 ]
Liu, SY
Zhang, YL
机构：
[1] Xidian Univ, Dept Appl Math, Xian 710071, Peoples R China
[2] Xian Sci & Technol Univ, Dept Comp Sci, Xian 710071, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2005, PT 1, PROCEEDINGS | 2005年 / 3496卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A neural network algorithm for second-order conic programming is proposed. By the Smooth technique, a smooth and convex energy function is constructed. We have proved that for any initial point, every trajectory of the neural network converges to an optimal solution of the second-order conic programming. The simulation results show the proposed neural network is feasible and efficient.
引用
收藏
页码：718 / 724
页数：7
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