Solving nonlinear programming problems through simulations of neural networks on a personal computer

Author

Shirey, T.A. ; Tung, L.J. ; Kwan, B.W. ; Foo, S. ; Anderson, L.

Author_Institution

Dept. of Electr. Eng., Florida State Univ. Coll. of Eng, Tallahassee, FL, USA

fYear

1989

fDate

26-28 Mar 1989

Firstpage

441

Lastpage

444

Abstract

An approach for finding the solutions of nonlinear programming problems is presented. In this approach, dedicated electronic circuits, known as neural networks, for solving nonlinear programming problems are simulated with a circuit analysis program. The advantage of the approach is the flexibility in changing the component values and the fact that random noise representing uncertainty can also be simulated

Keywords

circuit analysis computing; mathematics computing; neural nets; nonlinear programming; circuit analysis program; dedicated electronic circuits; mathematics computing; neural networks; nonlinear programming; personal computer; random noise; simulations; Analytical models; Circuit analysis; Circuit simulation; Computational modeling; Computer simulation; Cost function; Electronic circuits; Functional programming; Microcomputers; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on

Conference_Location

Tallahassee, FL

ISSN

0094-2898

Print_ISBN

0-8186-1933-3

Type

conf

DOI

10.1109/SSST.1989.72507

Filename

72507

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2175396