DocumentCode
1242269
Title
Solving linear programming problems with neural networks: a comparative study
Author
Zak, Stanislaw H. ; Upatising, Viriya ; Hui, Stefen
Author_Institution
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Volume
6
Issue
1
fYear
1995
fDate
1/1/1995 12:00:00 AM
Firstpage
94
Lastpage
104
Abstract
In this paper we study three different classes of neural network models for solving linear programming problems. We investigate the following characteristics of each model: model complexity, complexity of individual neurons, and accuracy of solutions. Simulation examples are given to illustrate the dynamical behavior of each model
Keywords
linear programming; mathematics computing; neural nets; accuracy; dynamical behavior; linear programming; model complexity; neural networks; neurons complexity; Constraint optimization; Cost function; Dynamic programming; Ellipsoids; Hopfield neural networks; Iterative algorithms; Linear programming; Neural networks; Neurons; Quadratic programming;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.363446
Filename
363446
Link To Document