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1
Towards Explainable Machine Learning: The Effectiveness of ..:
, In:
MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)
,
Jere, Shashank
;
Said, Karim
;
Zheng, Lizhong
. - p. 667-672 , 2023
Link:
https://doi.org/10.1109/MILCOM58377.2023.10356295
RT T1 <cTitle>MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM)</cTitle>: T1 <Title>Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10356295&Exemplar=1&LAN=DE A1 Jere, Shashank A1 Said, Karim A1 Zheng, Lizhong A1 Liu, Lingjia YR 2023 SN 2155-7586 K1 Wireless communication K1 Military communication K1 Equalizers K1 Computational modeling K1 XML K1 Signal processing K1 Reservoirs K1 Deep learning K1 reservoir computing K1 echo state network K1 equalization K1 receive processing K1 symbol detection K1 model interpretability and explainable machine learning SP 667 OP 672 LK http://dx.doi.org/https://doi.org/10.1109/MILCOM58377.2023.10356295 DO https://doi.org/10.1109/MILCOM58377.2023.10356295 SF ELIB - SuUB Bremen
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