A modified Hopfield network for nonlinear programming problem solving

被引：0
|
作者：
Yu, Changrui [1 ,2 ]
Luo, Yan [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Inst Syst Engn, Shanghai 200052, Peoples R China
[2] Shanghai Univ Finance & Ecnom, Sch Informat Mang Engn, Shanghai 200433, Peoples R China
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 3, PROCEEDINGS | 2007年 / 4493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：
This paper presents an efficient approach based on Hopfield network for solving nonlinear optimization problems, with polynomial objective function, polynomial equality constraints and polynomial inequality constraints. A modified Hopfield network is developed and its stability and convergence is analyzed in the paper. Then a mapping of nonlinear optimization problems is formulated using the modified Hopfield network. Simulation results are provided to demonstrate the performance of the proposed neural network.
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页码：302 / +
页数：3
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