Title : ( Application of projection neural network in solving convex programming problems )
Authors: A.R. Nazemi , Sohrab Effati ,
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Abstract
In this paper we present that solution of convex programming problems is equivalent with solution of projection formulation, then we introduce neural network models for solving projection formulation and analysis stability conditions and convergence. Simulation shows that the introduced neural network is effective in solving convex programming problems.
Keywords
Variational inequality; Projection operator; Neural network; Convex programming; Stability
@article{paperid:1009380,
author = {A.R. Nazemi and Effati, Sohrab},
title = {Application of projection neural network in solving convex programming problems},
journal = {Applied Mathematics and Computation},
year = {2007},
volume = {188},
number = {2},
month = {April},
issn = {0096-3003},
pages = {1103--1114},
numpages = {11},
keywords = {Variational inequality; Projection operator; Neural network; Convex programming; Stability},
}
%0 Journal Article
%T Application of projection neural network in solving convex programming problems
%A A.R. Nazemi
%A Effati, Sohrab
%J Applied Mathematics and Computation
%@ 0096-3003
%D 2007
