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Hysteresis Modeling in Iron-Dominated Magnets Based on a Multi-Layered NARX Neural Network Approach

A full-fledged neural network modeling, based on a Multi-layered Nonlinear Autoregressive Exogenous Neural Network (NARX) architecture, is proposed for quasi-static and dynamic hysteresis loops, one of the most challenging topics for computational magnetism. This modeling approach overcomes drawback...

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Detalles Bibliográficos
Autores principales: Amodeo, Maria, Arpaia, Pasquale, Buzio, Marco, Di Capua, Vincenzo, Donnarumma, Francesco
Lenguaje:eng
Publicado: 2021
Materias:
Acceso en línea:https://dx.doi.org/10.1142/s0129065721500337
http://cds.cern.ch/record/2783200