DocumentCode :
3719610
Title :
Comparative study of neural model and multimodel for DFIM
Author :
Abid Aicha;Benhamed Mouna;Sbita Lassaad
Author_Institution :
National Engineering School of Gabes, Tunisia Photovoltaic, Wind and Geothermal Systems Research Gabes, Tunisia
fYear :
2015
fDate :
6/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
4
Abstract :
This paper deal with a comparative study of two modeling approach applied to modeling the DFIM as a complex and nonlinear industrial system. The first method is based on multi-model approach whereas the second is based on neural approach.
Keywords :
"Induction machines","Databases","Computational modeling","Mathematical model","Nonlinear dynamical systems","Biological neural networks"
Publisher :
ieee
Conference_Titel :
Information Technology and Computer Applications Congress (WCITCA), 2015 World Congress on
Type :
conf
DOI :
10.1109/WCITCA.2015.7367053
Filename :
7367053
Link To Document :
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