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1
A Data-Driven Inductor Modeling Technique Using Parametric ..:
, In:
2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers)
,
Motomatsu, Takehiro
;
Koga, Takahiro
;
Shigei, Noritaka
... - p. 1-2 , 2023
Link:
https://doi.org/10.1109/INTERMAGShortPapers58606.2023...
RT T1 <cTitle>2023 IEEE International Magnetic Conference - Short Papers (INTERMAG Short Papers)</cTitle>: T1 <Title>A Data-Driven Inductor Modeling Technique Using Parametric Circuit Simulation and Deep Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10228481&Exemplar=1&LAN=DE A1 Motomatsu, Takehiro A1 Koga, Takahiro A1 Shigei, Noritaka A1 Yamaguchi, Masahiro A1 Itagaki, Atsushi A1 Ishizuka, Yoichi YR 2023 K1 Deep learning K1 Circuit simulation K1 Nonlinear magnetics K1 Transformers K1 Power electronics K1 Integrated circuit modeling K1 Inductors K1 Power Electronics K1 Inductor K1 Magnetic Losses K1 Deep Learning SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228481 DO https://doi.org/10.1109/INTERMAGShortPapers58606.2023.10228481 SF ELIB - SuUB Bremen
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