A new nonlinear neural network for solving convex nonlinear programming problems

被引：20
|
作者：
Effati, S [1 ]
Baymani, M [1 ]
机构：
[1] Teacher Training Univ Sabzevar, Dept Math, Sabzevar, Iran
来源：
APPLIED MATHEMATICS AND COMPUTATION | 2005年 / 168卷 / 02期
关键词：
neural network; convex nonlinear programming; differential equation;
D O I：
10.1016/j.amc.2004.10.028
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper presents a new recurrent neural network for solving convex nonlinear programming problems. The new model is simpler and more intuitive than existing models and converge very fast to exact solution of the original problem. We show that this new model is asymptotically stable. (c) 2004 Elsevier Inc. All rights reserved.
引用
收藏
页码：1370 / 1379
页数：10
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