Title : ( A novel recurrent nonlinear neural network for solving quadratic programming problems )
Authors: Sohrab Effati , M. Ranjbar ,
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Abstract
This paper presents a new neural network for solving quadratic programming problems. The new model has a simple form, furthermore it has a good convergence rate with a less number calculation operation than the old models. It converges very fast to exact solution of the dual problem and by substituting in a formulation, the optimal solution of the original problem is obtained. Neural network model with one of numerical method is solved. Finally, simple numerical examples are provided for more illustration.
Keywords
Neural network Quadratic programming Differential equation
@article{paperid:1019253,
author = {Effati, Sohrab and M. Ranjbar},
title = {A novel recurrent nonlinear neural network for solving quadratic programming problems},
journal = {Applied Mathematical Modelling},
year = {2011},
volume = {35},
number = {4},
month = {January},
issn = {0307-904X},
pages = {1688--1695},
numpages = {7},
keywords = {Neural network
Quadratic programming
Differential equation},
}
%0 Journal Article
%T A novel recurrent nonlinear neural network for solving quadratic programming problems
%A Effati, Sohrab
%A M. Ranjbar
%J Applied Mathematical Modelling
%@ 0307-904X
%D 2011
