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1 Ergebnisse
1
Hyperparameter-optimized CNN and CNN-LSTM for Predicting th..:
, In:
2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)
,
Rastegarpanah, Alireza
;
Contreras, Cesar Alan
;
Stolkin, Rustam
- p. 110-115 , 2023
Link:
https://doi.org/10.1109/ICICIS58388.2023.10391176
RT T1 <cTitle>2023 Eleventh International Conference on Intelligent Computing and Information Systems (ICICIS)</cTitle>: T1 <Title>Hyperparameter-optimized CNN and CNN-LSTM for Predicting the Remaining Useful Life of Lithium-Ion Batteries</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10391176&Exemplar=1&LAN=DE A1 Rastegarpanah, Alireza A1 Contreras, Cesar Alan A1 Stolkin, Rustam YR 2023 SN 2831-5952 K1 Lithium-ion batteries K1 Turing machines K1 Predictive models K1 Electric vehicles K1 Bayes methods K1 Planning K1 Pattern recognition K1 convolutional neural networks K1 long short-term memory K1 hyper-parameters K1 electric vehicles K1 remaining useful life K1 lithium-ion battery SP 110 OP 115 LK http://dx.doi.org/https://doi.org/10.1109/ICICIS58388.2023.10391176 DO https://doi.org/10.1109/ICICIS58388.2023.10391176 SF ELIB - SuUB Bremen
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