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Principal component analysis can decrease neural networks p..:
, In:
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
,
Artoni, Fiorenzo
;
Martelli, Dario
;
Monaco, Vito
. - p. 6194-6197 , 2016
Link:
https://doi.org/10.1109/EMBC.2016.7592143
RT T1 <cTitle>2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)</cTitle>: T1 <Title>Principal component analysis can decrease neural networks performance for incipient falls detection: A preliminary study with hands and feet accelerations</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-7592143&Exemplar=1&LAN=DE A1 Artoni, Fiorenzo A1 Martelli, Dario A1 Monaco, Vito A1 Micera, Silvestre YR 2016 SN 1558-4615 SN 1557-170X K1 Principal component analysis K1 Perturbation methods K1 Artificial neural networks K1 Sensitivity K1 Foot K1 Training K1 Legged locomotion SP 6194 OP 6197 LK http://dx.doi.org/https://doi.org/10.1109/EMBC.2016.7592143 DO https://doi.org/10.1109/EMBC.2016.7592143 SF ELIB - SuUB Bremen
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