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1 Ergebnisse
1
Hardware Accelerator Design with Supervised Machine Learnin..:
, In:
2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
,
Chen, J.
;
Lange, T.
;
Andjelkovic, M.
.. - p. 1-6 , 2020
Link:
https://doi.org/10.1109/DFT50435.2020.9250856
RT T1
2020 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)
: T1
Hardware Accelerator Design with Supervised Machine Learning for Solar Particle Event Prediction
UL https://suche.suub.uni-bremen.de/peid=ieee-9250856&Exemplar=1&LAN=DE A1 Chen, J. A1 Lange, T. A1 Andjelkovic, M. A1 Simevski, A. A1 Krstic, M. YR 2020 SN 2377-7966 K1 Random access memory K1 Machine learning K1 Predictive models K1 Data models K1 Hardware K1 Training K1 Monitoring K1 solar particle event K1 machine learning K1 single event upset K1 hardware accelerator SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/DFT50435.2020.9250856 DO https://doi.org/10.1109/DFT50435.2020.9250856 SF ELIB - SuUB Bremen
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