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
fDate :
9/1/1998 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
