skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Nonlinear programming with feedforward neural networks.

Conference ·
OSTI ID:11194

We provide a practical and effective method for solving constrained optimization problems by successively training a multilayer feedforward neural network in a coupled neural-network/objective-function representation. Nonlinear programming problems are easily mapped into this representation which has a simpler and more transparent method of solution than optimization performed with Hopfield-like networks and poses very mild requirements on the functions appearing in the problem. Simulation results are illustrated and compared with an off-the-shelf optimization tool.

Research Organization:
Argonne National Lab., IL (US)
Sponsoring Organization:
US Department of Energy (US)
DOE Contract Number:
W-31109-ENG-38
OSTI ID:
11194
Report Number(s):
ANL/RA/CP-98069; TRN: AH200128%%653
Resource Relation:
Conference: International Joint Conference on Neural Networks '99, Washington, DC (US), 07/10/1999--07/16/1999; Other Information: PBD: 2 Jun 1999
Country of Publication:
United States
Language:
English

Similar Records

Nonlinear PLS modeling using neural networks
Conference · Sat Dec 31 00:00:00 EST 1994 · OSTI ID:11194

Nonlinear identification of process dynamics using neural networks
Journal Article · Wed Jan 01 00:00:00 EST 1992 · Nuclear Technology; (United States) · OSTI ID:11194

A robust and efficient training algorithm for feedforward neural networks
Miscellaneous · Tue Jan 01 00:00:00 EST 1991 · OSTI ID:11194