Anisotropic vector hysteresis model applying Everett function and neural network

This paper deals with a simulation technique based on neural networks and an identification method to approximate the behavior of vector hysteresis characteristics of ferromagnetic materials. The identification procedure is based on theoretical measured vector Everett functions using Fourier expansi...

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Veröffentlicht in:	Physica. B, Condensed matter Condensed matter, 2006-02, Vol.372 (1-2), p.138-142
Hauptverfasser:	KUCZMANN, Miklos, IVANYI, Amalia
Format:	Artikel
Sprache:	eng
Schlagworte:	Condensed matter: electronic structure, electrical, magnetic, and optical properties Domain effects, magnetization curves, and hysteresis Exact sciences and technology Magnetic properties and materials Magnetization curves, magnetization reversal, hysteresis, barkhausen and related effects Physics
Online-Zugang:	Volltext
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