Vector hysteresis modeling using octal clusters of coupled step functions
Author:
Publisher
AIP Publishing
Subject
General Physics and Astronomy
Link
http://aip.scitation.org/doi/pdf/10.1063/1.3563071
Reference7 articles.
1. Identification and testing of an efficient hopfield neural network magnetostriction model
2. Efficient implementation of vector Preisach-type models using orthogonally coupled hysteresis operators
3. Efficient Implementation of Anisotropic Vector Preisach-Type Models Using Coupled Step Functions
4. Implementation of magnetostriction Preisach-type models using orthogonally coupled hysteresis operators
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1. An efficient hysteresis modeling methodology and its implementation in field computation applications;Journal of Magnetism and Magnetic Materials;2017-07
2. Utilizing neural networks in magnetic media modeling and field computation: A review;Journal of Advanced Research;2014-11
3. Identification and verification of a Preisach-based vector model for ferromagnetic materials;Applied Physics A;2014-10-17
4. Efficient vector hysteresis modeling using rotationally coupled step functions;Physica B: Condensed Matter;2012-05
5. An efficient vector Preisach hysteresis model based on a novel rotational operator;Journal of Applied Physics;2012-04
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