Title :
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
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;
Conference_Titel :
System Theory, 1989. Proceedings., Twenty-First Southeastern Symposium on
Conference_Location :
Tallahassee, FL
Print_ISBN :
0-8186-1933-3
DOI :
10.1109/SSST.1989.72507
