NEURAL NETWORKS FOR SOLVING SECOND-ORDER CONE PROGRAMS BASED ON COMPLEMENTARITY FUNCTIONS

被引：0
作者：
Chen, Jein-Shan [1 ]
机构：
[1] Natl Taiwan Normal Univ, Dept Math, Taipei 11677, Taiwan
来源：
JOURNAL OF NONLINEAR AND CONVEX ANALYSIS | 2018年 / 19卷 / 10期
关键词：
Neural network; generalized FB function; stability; second-order cone; NONLINEAR CONVEX-PROGRAMS; VARIATIONAL-INEQUALITIES; REFORMULATION; STABILITY;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper surveys two neural networks for solving nonlinear convex programs with the second-order cone constraints. The neural network models are designed based on two different C-functions associated with a second-order cone. Various stabilities along with the neural networks are presented. Numerical comparisons are also reported.
引用
收藏
页码：1621 / 1641
页数：21
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