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1 Ergebnisse
1
Gated Recurrent Units Network Based on Adversarial Training..:
, In:
2023 IEEE AUTOTESTCON
,
Wu, Kunping
;
Long, Bing
;
Tang, Xiaoting
... - p. 1-5 , 2023
Link:
https://doi.org/10.1109/AUTOTESTCON47464.2023.10296326
RT T1
2023 IEEE AUTOTESTCON
: T1
Gated Recurrent Units Network Based on Adversarial Training for Multi-Step Fault Prediction of RF Circuits
UL https://suche.suub.uni-bremen.de/peid=ieee-10296326&Exemplar=1&LAN=DE A1 Wu, Kunping A1 Long, Bing A1 Tang, Xiaoting A1 Bu, Zhiyuan A1 Liu, Zhen A1 Kong, Dexuan YR 2023 SN 1558-4550 K1 Radio frequency K1 Training K1 Time series analysis K1 Radar K1 Predictive models K1 Logic gates K1 Generators K1 RF (radio frequency) circuits K1 fault prediction K1 multi-step prediction K1 adversarial training K1 GRU (Gated Recurrent Units) SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/AUTOTESTCON47464.2023.10296326 DO https://doi.org/10.1109/AUTOTESTCON47464.2023.10296326 SF ELIB - SuUB Bremen
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