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1 Ergebnisse
1
A Practical Approach Based on Machine Learning to Support S..:
, In:
2022 International Symposium on Electromagnetic Compatibility – EMC Europe
,
John, Werner
;
Withoft, Julian
;
Ecik, Emre
.. - p. 623-628 , 2022
Link:
https://doi.org/10.1109/EMCEurope51680.2022.9901213
RT T1 <cTitle>2022 International Symposium on Electromagnetic Compatibility – EMC Europe</cTitle>: T1 <Title>A Practical Approach Based on Machine Learning to Support Signal Integrity Design</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9901213&Exemplar=1&LAN=DE A1 John, Werner A1 Withoft, Julian A1 Ecik, Emre A1 Bruning, Ralf A1 Gotze, Jurgen YR 2022 SN 2325-0364 K1 Support vector machines K1 Analytical models K1 Layout K1 Integrated circuit interconnections K1 Europe K1 Machine learning K1 Electromagnetic compatibility K1 Pre layout analysis K1 post layout analysis K1 concurrent analysis K1 signal integrity K1 high speed systems K1 automotive control units K1 AI/Ml models K1 AI/ML SI-modules K1 neural network K1 NN Keras model K1 k-Nearest Neighbor (kNN) K1 Support Vector Regression (SVR) SP 623 OP 628 LK http://dx.doi.org/https://doi.org/10.1109/EMCEurope51680.2022.9901213 DO https://doi.org/10.1109/EMCEurope51680.2022.9901213 SF ELIB - SuUB Bremen
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