Neural network based scalar hysteresis model

被引：0

作者：

Kuczmann, Miklós ^{[1
]}

Iványi, Amália ^{[1
]}

机构：

[1] Dept. of Electromagnetic Theory, Budapest Univ. of Technol. and Econ., Egry J. u. 18, Budapest, H-1521, Hungary

来源：

| 2001年 / IOS Press卷 / 15期

关键词：

Algorithms - Approximation theory - Computer aided design - Computer simulation - Magnetic materials - Mathematical models - Neural networks;

D O I：

10.3233/jae-2002-508

中图分类号：

学科分类号：

摘要：

A neural network (NN) model of scalar hysteresis phenomena has been developed for modeling the behavior of magnetic materials. The function approximation ability of NNs has been applied. The virgin curve and a set of the first order reversal branches can be stored preliminary in a system of three NNs. Different properties of magnetic materials can be simulated by a knowledge-based algorithm. Value of differential susceptibility, dM/dH can be expressed in analytical form. Finally hysteresis characteristics predicted by the introduced model are compared with the results of the Preisach simulation technique.

引用

页码：1 / 4

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