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A new neural-network-based scalar hysteresis model

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2 Author(s)
M. Kuczmann ; Dept. of Electromagn. Theor., Budapest Univ. of Technol. & Econ., Hungary ; A. Ivanyi

A neural network (NN)-based model of scalar hysteresis characteristics has been developed for modeling the behavior of magnetic materials. 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 simple if-then type knowledge-based algorithm. Hysteresis characteristics of different materials predicted by the introduced model are compared with the results of the classical Preisach simulation technique. Comparisons are plotted in figures

Published in:

IEEE Transactions on Magnetics  (Volume:38 ,  Issue: 2 )