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Dynamic Ferromagnetic Hysteresis Modelling Using a Preisach-Recurrent Neural Network Model
In this work, a Preisach-recurrent neural network model is proposed to predict the dynamic hysteresis in ARMCO pure iron, an important soft magnetic material in particle accelerator magnets. A recurrent neural network coupled with Preisach play operators is proposed, along with a novel validation me...
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| Veröffentlicht in: | Materials (Basel) |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7321460/ https://ncbi.nlm.nih.gov/pubmed/32512774 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ma13112561 |
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