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1 Ergebnisse
1
Effects of Key Factors on Uncertainty Quantifications in Fu..:
, In:
2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)
,
He, Siyuan
;
Wei, Zhun
- p. 1-2 , 2023
Link:
https://doi.org/10.23919/ACES-China60289.2023.10249941
RT T1 <cTitle>2023 International Applied Computational Electromagnetics Society Symposium (ACES-China)</cTitle>: T1 <Title>Effects of Key Factors on Uncertainty Quantifications in Full-wave Inverse Scattering Problems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10249941&Exemplar=1&LAN=DE A1 He, Siyuan A1 Wei, Zhun YR 2023 K1 Training K1 Correlation coefficient K1 Deep learning K1 Uncertainty K1 Inverse problems K1 Neural networks K1 Electromagnetic scattering K1 inverse scattering problems K1 deep learning scheme K1 uncertainty quantifications SP 1 OP 2 LK http://dx.doi.org/https://doi.org/10.23919/ACES-China60289.2023.10249941 DO https://doi.org/10.23919/ACES-China60289.2023.10249941 SF ELIB - SuUB Bremen
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