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1 Ergebnisse
1
Deep Learning for Identifying Hysteresis Models of Piezocer..:
, In:
2019 14th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA)
,
Qi, Xue
;
Shi, Wei-jia
;
Zhao, Bo
. - p. 1-6 , 2019
Link:
https://doi.org/10.1109/SPAWDA48812.2019.9019229
RT T1 <cTitle>2019 14th Symposium on Piezoelectrcity, Acoustic Waves and Device Applications (SPAWDA)</cTitle>: T1 <Title>Deep Learning for Identifying Hysteresis Models of Piezoceramic Actuators in the Linear Frame</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9019229&Exemplar=1&LAN=DE A1 Qi, Xue A1 Shi, Wei-jia A1 Zhao, Bo A1 Tan, Jiu-bin YR 2019 K1 Hysteresis K1 Actuators K1 Computational modeling K1 Mathematical model K1 Machine learning K1 Artificial neural networks K1 Training K1 Piezoceramic actuators K1 Precision positioning K1 Preisach model K1 Neural networks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/SPAWDA48812.2019.9019229 DO https://doi.org/10.1109/SPAWDA48812.2019.9019229 SF ELIB - SuUB Bremen
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