OBTAINING OPTIMUM MINIMUM POINTS OF ERROR FUNCTIONS - A NEURAL-NETWORK APPROACH

Authors
OLIVIER JC
Citation
Jc. Olivier, OBTAINING OPTIMUM MINIMUM POINTS OF ERROR FUNCTIONS - A NEURAL-NETWORK APPROACH, IEEE transactions on circuits and systems. 2, Analog and digital signal processing, 42(11), 1995, pp. 722-725
Citations number
3
Categorie Soggetti
Engineering, Eletrical & Electronic
Journal title
IEEE transactions on circuits and systems. 2, Analog and digital signal processing → ACNP
ISSN journal
10577130
Volume
42
Issue
11
Year of publication
1995
Pages
722 - 725
Database
ISI
SICI code
1057-7130(1995)42:11<722:OOMPOE>2.0.ZU;2-S
Abstract
An iterative neural network solution for the problem of obtaining the optimal minima of error or cost functions containing many local minima is proposed, Use is made of an adaptive constraint function eliminati ng local minima previously encountered, It is shown that the method yi elds very fast response times, and the method is applied to a represen tative example with simulation results verifying its usefulness and sp eed.