Title :
Neural network for solving extended linear programming problems
Author_Institution :
Dept. of Math., Nanjing Univ., China
fDate :
5/1/1997 12:00:00 AM
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
Keywords :
linear programming; neural nets; L1-norm minimization problem; extended linear programming problems; global convergence; neural network; Artificial neural networks; Circuits; Constraint optimization; Convergence; Government; Linear programming; Minimization; Neural network hardware; Neural networks; Production;
Journal_Title :
Neural Networks, IEEE Transactions on