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1 Ergebnisse
1
Magnetic Hysteresis Simulation by Using a Deep Neural Netwo..:
, In:
2023 15th International Conference on Computer and Automation Engineering (ICCAE)
,
Cardelli, Ermanno
;
Laudani, Antonino
;
Riganti-Fulginei, Francesco
- p. 292-295 , 2023
Link:
https://doi.org/10.1109/ICCAE56788.2023.10111116
RT T1 <cTitle>2023 15th International Conference on Computer and Automation Engineering (ICCAE)</cTitle>: T1 <Title>Magnetic Hysteresis Simulation by Using a Deep Neural Network for Non-sinusoidal Excitations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10111116&Exemplar=1&LAN=DE A1 Cardelli, Ermanno A1 Laudani, Antonino A1 Riganti-Fulginei, Francesco YR 2023 SN 2154-4360 K1 Training K1 Deep learning K1 Analytical models K1 Software algorithms K1 Predictive models K1 Magnetic hysteresis K1 Software K1 hysteresis K1 neural networks K1 Preisach K1 non-sinusoidal excitations SP 292 OP 295 LK http://dx.doi.org/https://doi.org/10.1109/ICCAE56788.2023.10111116 DO https://doi.org/10.1109/ICCAE56788.2023.10111116 SF ELIB - SuUB Bremen
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