DocumentCode
1429489
Title
Modeling magnetic materials using artificial neural networks
Author
Saliah, H.H. ; Lowther, D.A. ; Forghani, B.
Author_Institution
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Volume
34
Issue
5
fYear
1998
fDate
9/1/1998 12:00:00 AM
Firstpage
3056
Lastpage
3059
Abstract
The accurate and effective modeling of magnetic materials is critical to the prediction of the performance of electromagnetic devices. The paper discusses the use of artificial neural networks as a uniform method for modeling the behavior of magnetic materials both isotropic and anisotropic, and with and without hysteresis
Keywords
electromagnetic devices; magnetic hysteresis; magnetic materials; neural nets; anisotropic materials; artificial neural networks; electromagnetic devices; hysteresis; isotropic materials; magnetic material modelling; uniform method; Artificial neural networks; Conducting materials; Electromagnetic devices; Magnetic anisotropy; Magnetic hysteresis; Magnetic materials; Magnetic properties; Neurons; Perpendicular magnetic anisotropy; Predictive models;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/20.717715
Filename
717715
Link To Document