A NEW NEURAL-NETWORK FOR SOLVING LINEAR AND QUADRATIC-PROGRAMMING PROBLEMS

Authors
XIA YS
Citation
Ys. Xia, A NEW NEURAL-NETWORK FOR SOLVING LINEAR AND QUADRATIC-PROGRAMMING PROBLEMS, IEEE transactions on neural networks, 7(6), 1996, pp. 1544-1547
Citations number
12
Categorie Soggetti
Computer Application, Chemistry & Engineering","Engineering, Eletrical & Electronic","Computer Science Artificial Intelligence","Computer Science Hardware & Architecture","Computer Science Theory & Methods
Journal title
IEEE transactions on neural networks → ACNP
ISSN journal
10459227
Volume
7
Issue
6
Year of publication
1996
Pages
1544 - 1547
Database
ISI
SICI code
1045-9227(1996)7:6<1544:ANNFSL>2.0.ZU;2-D
Abstract
A new neural network for solving linear and quadratic programming prob lems is presented and is shown to be globally convergent. The new neur al network improves existing neural networks for solving these problem s, that is, it avoids the parameter turning problem, is capable of ach ieving the exact solutions, and uses only simple hardware in which no analog multipliers for variables are required. Furthermore, the networ k salves both the primal problems and their dual problems simultaneous ly.