Modeling of a Winding Machine Using Genetic
Programming
A. Hussian, A. Sheta, M. Kamel, M. Telbaney, and A. Abdelwahab. Proceedings of the 2000 Congress on Evolutionary
Computation CEC00, page 398--402. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
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.
Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
year
2000
month
6-9 July
pages
398--402
publisher
IEEE Press
organisation
IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)
publisher_address
445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA
isbn
0-7803-6375-2
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
%0 Conference Paper
%1 hussian:2000:mwmugp
%A Hussian, Abo El-Abbass
%A Sheta, Alaa
%A Kamel, Mahmoud
%A Telbaney, Mohamed
%A Abdelwahab, Ashraf
%B Proceedings of the 2000 Congress on Evolutionary
Computation CEC00
%C La Jolla Marriott Hotel La Jolla, California, USA
%D 2000
%I IEEE Press
%K algorithms, control design genetic programming, system
%P 398--402
%T Modeling of a Winding Machine Using Genetic
Programming
%X 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.
%@ 0-7803-6375-2
@inproceedings{hussian:2000:mwmugp,
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.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {La Jolla Marriott Hotel La Jolla, California, USA},
author = {Hussian, Abo El-Abbass and Sheta, Alaa and Kamel, Mahmoud and Telbaney, Mohamed and Abdelwahab, Ashraf},
biburl = {https://www.bibsonomy.org/bibtex/2683d4bcfec94234b166fda7e4e431ba8/brazovayeye},
booktitle = {Proceedings of the 2000 Congress on Evolutionary
Computation CEC00},
interhash = {718c9cc14cdc7d04b037e7b6f5e4da8b},
intrahash = {683d4bcfec94234b166fda7e4e431ba8},
isbn = {0-7803-6375-2},
keywords = {algorithms, control design genetic programming, system},
month = {6-9 July},
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},
organisation = {IEEE Neural Network Council (NNC), Evolutionary
Programming Society (EPS), Institution of Electrical
Engineers (IEE)},
pages = {398--402},
publisher = {IEEE Press},
publisher_address = {445 Hoes Lane, P.O. Box 1331, Piscataway, NJ
08855-1331, USA},
timestamp = {2008-06-19T17:41:59.000+0200},
title = {Modeling of a Winding Machine Using Genetic
Programming},
year = 2000
}