Identification of vector Preisach models from arbitrary measured data using neural networks
Author:
Publisher
AIP Publishing
Subject
General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/1.372853
Reference3 articles.
1. Using neural networks in the identification of Preisach-type hysteresis models
2. Magnetic hysteresis modeling via feed-forward neural networks
3. Using neural networks in the identification of Preisach-type magnetostriction and field-temperature models
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3. Utilizing neural networks in magnetic media modeling and field computation: A review;Journal of Advanced Research;2014-11
4. Identification of parameters of the Jiles–Atherton model by neural networks;Journal of Applied Physics;2011-04
5. Implementation of the Preisach-Stoner-Wohlfarth Classical Vector Model;IEEE Transactions on Magnetics;2010-01
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