Modeling of a Winding Machine Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7975
- @InProceedings{hussian:2000:mwmugp,
-
author = "Abo El-Abbass Hussian and Alaa Sheta and
Mahmoud Kamel and Mohamed Telbaney and Ashraf Abdelwahab",
-
title = "Modeling of a Winding Machine Using Genetic
Programming",
-
booktitle = "Proceedings of the 2000 Congress on Evolutionary
Computation CEC00",
-
year = "2000",
-
pages = "398--402",
-
address = "La Jolla Marriott Hotel La Jolla, California, USA",
-
publisher_address = "445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA",
-
month = "6-9 " # jul,
-
organisation = "IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)",
-
publisher = "IEEE Press",
-
keywords = "genetic algorithms, genetic programming, control
system design, ARMA, autoregressive moving average
model, data sets, experiments, industrial process,
winding machine modelling, winding process dynamics,
autoregressive moving average processes, industrial
plants, winding (process)",
-
ISBN = "0-7803-6375-2",
-
DOI = "doi:10.1109/CEC.2000.870323",
-
abstract = "In this paper, we present a new method for modeling
the dynamics of a winding process using genetic
programming and compare it with traditional modeling
approaches. Data sets collected from an actual
industrial process was used throughout the experiments.
Three models were developed to describe the dynamics of
the winding process. Experimental results are presented
and discussed.",
-
notes = "CEC-2000 - A joint meeting of the IEEE, Evolutionary
Programming Society, Galesia, and the IEE.
IEEE Catalog Number = 00TH8512,
Library of Congress Number = 00-018644",
- }
Genetic Programming entries for
Abo El-Abbass Hussian
Alaa Sheta
Mahmoud Kamel
Mohamed Telbaney
Ashraf Abdelwahab
Citations