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Neural Network Modeling of Arbitrary Hysteresis Processes: ..:
Simone Quondam Antonio
;
Vincenzo Bonaiuto
;
Fausto Sargeni
.
https://www.mdpi.com/2312-7481/8/2/18. , 2022
Link:
https://doi.org/10.3390/magnetochemistry8020018
RT Journal T1
Neural Network Modeling of Arbitrary Hysteresis Processes: Application to GO Ferromagnetic Steel
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:29ecfa8afee14c3ba2ddbc97a4910be6&Exemplar=1&LAN=DE A1 Simone Quondam Antonio A1 Vincenzo Bonaiuto A1 Fausto Sargeni A1 Alessandro Salvini PB MDPI AG YR 2022 K1 neural network modeling K1 grain-oriented steel K1 magnetic hysteresis K1 non-sinusoidal excitations K1 training program K1 Chemistry K1 QD1-999 JF https://www.mdpi.com/2312-7481/8/2/18 LK http://dx.doi.org/https://doi.org/10.3390/magnetochemistry8020018 DO https://doi.org/10.3390/magnetochemistry8020018 SF ELIB - SuUB Bremen
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