Neural network for solving extended linear programming problems

Authors:
Yousen Xia
Affiliations:
Dept. of Math., Nanjing Univ.
Venue:
IEEE Transactions on Neural Networks
Year:
1997

Citing 0
Cited 4

A Novel Method to Handle Inequality Constraints for Convex Programming Neural Network

Neural Processing Letters
A cooperative recurrent neural network for solving l1 estimation problems with general linear constraints

Neural Computation
Applications of the general projection neural network in solving extended linear-quadratic programming problems with linear constraints

Neurocomputing
Solving extended linear programming problems using a class of recurrent neural networks

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

A neural network for solving extended linear programming problems is presented and is shown to be globally convergent to exact solutions. The proposed neural network only uses simple hardware in which no analog multiplier for variables is required, and has no parameter tuning problem. Finally, an application of the neural network to the L1 -norm minimization problem is given