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1 Ergebnisse
1
Bayesian Optimized CNN-RNN Hybrid Model for Predicting Stre..:
, In:
2024 16th International Conference on Advanced Computational Intelligence (ICACI)
,
Zhang, Nian
;
Rouamba, Stephanie
;
Robinson, Gavin
. - p. 121-126 , 2024
Link:
https://doi.org/10.1109/ICACI60820.2024.10537003
RT T1 <cTitle>2024 16th International Conference on Advanced Computational Intelligence (ICACI)</cTitle>: T1 <Title>Bayesian Optimized CNN-RNN Hybrid Model for Predicting Streamflow in Potomac River Basin</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10537003&Exemplar=1&LAN=DE A1 Zhang, Nian A1 Rouamba, Stephanie A1 Robinson, Gavin A1 Deksissa, Tolessa YR 2024 K1 Recurrent neural networks K1 Correlation K1 Computational modeling K1 Time series analysis K1 Predictive models K1 Discharges (electric) K1 Data models K1 Time series prediction K1 water quantity prediction K1 machine learning K1 deep learning K1 convolutional neural networks (CNNs) K1 recurrent neural networks (RNNs) K1 long short-term memory Networks (LSTM) SP 121 OP 126 LK http://dx.doi.org/https://doi.org/10.1109/ICACI60820.2024.10537003 DO https://doi.org/10.1109/ICACI60820.2024.10537003 SF ELIB - SuUB Bremen
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