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1 Ergebnisse
1
AN LSTM model-based Prediction of Chaotic System: Analyzing..:
, In:
2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
,
Nassan, Wafaa Al
;
Bonny, Talal
;
Obaideen, Khaled
. - p. 337-342 , 2022
Link:
https://doi.org/10.1109/ICECTA57148.2022.9990128
RT T1 <cTitle>2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)</cTitle>: T1 <Title>AN LSTM model-based Prediction of Chaotic System: Analyzing the Impact of Training Dataset Precision on the Performance</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9990128&Exemplar=1&LAN=DE A1 Nassan, Wafaa Al A1 Bonny, Talal A1 Obaideen, Khaled A1 Hammal, Abd Alrhman YR 2022 K1 Training K1 Deep learning K1 Analytical models K1 Computational modeling K1 Time series analysis K1 Measurement uncertainty K1 Training data K1 haotic time series K1 prediction of chaotic system K1 deep learning K1 LSTM K1 lorenz systemhaotic time series K1 lorenz systemc SP 337 OP 342 LK http://dx.doi.org/https://doi.org/10.1109/ICECTA57148.2022.9990128 DO https://doi.org/10.1109/ICECTA57148.2022.9990128 SF ELIB - SuUB Bremen
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