DocumentCode
356773
Title
Modeling of a winding machine using genetic programming
Author
Hussian, Abo El-Abbass ; Sheta, Alaa ; Kamel, Mahmoud ; Telbaney, Mohammed ; Abdelwahab, Ashraf
Author_Institution
Dept. of Comput. & Syst., Electron. Res. Inst., Cairo, Egypt
Volume
1
fYear
2000
fDate
2000
Firstpage
398
Abstract
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 were used throughout the experiments. Three models were developed to describe the dynamics of the winding process. Experimental results are presented and discussed
Keywords
autoregressive moving average processes; genetic algorithms; industrial plants; winding (process); ARMA; autoregressive moving average model; data sets; experiments; genetic programming; industrial process; winding machine modeling; winding process dynamics; Buildings; Genetic algorithms; Genetic programming; Machine windings; Metals industry; Milling machines; Nonlinear systems; Programmable control; Vehicle dynamics; Wire;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation, 2000. Proceedings of the 2000 Congress on
Conference_Location
La Jolla, CA
Print_ISBN
0-7803-6375-2
Type
conf
DOI
10.1109/CEC.2000.870323
Filename
870323
Link To Document