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Author Bittencout, F.R. ♦ Zarate, L.E.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Applied physics
Abstract In this work, the optimization of a neural structure by means of genetic algorithms based on the sensitivity factors, as criterion of the best representatives of a generation selection is presented. As all optimization procedure has the objective to find a neural network structure capable to represent quantitative and qualitatively the process, the sensitivity factors, calculated directly of the neural networks during the training process, are considered. These factors, when compared with the knowledge a priori of the process, represented through symbolic rules, confirm not only the quantitative aspect as well as the qualitative aspect of the process being represented through a specific structure. The results obtained and the time (epochs) to reach the neural network target, applied for the cold rolling process, show that this structure is promising.
Description Author affiliation: Fundacao Comunitaria de Ensino Super. de Itabira, FATEC, Itabira (Bittencout, F.R.)
ISBN 9781424421701
ISSN 19354576
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-07-13
Publisher Place South Korea
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 179.90 kB
Page Count 6
Starting Page 1058
Ending Page 1063


Source: IEEE Xplore Digital Library