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1 Ergebnisse
1
Retail Demand Forecasting using CNN-LSTM Model:
, In:
2022 International Conference on Electronics and Renewable Systems (ICEARS)
,
Nithin, Soundar S J
;
Rajasekar, T
;
Jayanthy, S
.. - p. 1751-1756 , 2022
Link:
https://doi.org/10.1109/ICEARS53579.2022.9752283
RT T1 <cTitle>2022 International Conference on Electronics and Renewable Systems (ICEARS)</cTitle>: T1 <Title>Retail Demand Forecasting using CNN-LSTM Model</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9752283&Exemplar=1&LAN=DE A1 Nithin, Soundar S J A1 Rajasekar, T A1 Jayanthy, S A1 Karthik, K A1 Rithick, Roshan R YR 2022 K1 Deep learning K1 Renewable energy sources K1 Demand forecasting K1 Predictive models K1 Multilayer perceptrons K1 Prediction algorithms K1 Data models K1 Convolutional Neural Networks (CNN) K1 Long Short-Term Memory Cells (LSTM) K1 Multilayer Perceptron K1 Demand Forecasting K1 Neural Networks K1 Tensor Flow K1 Swish Activation Function K1 ReLU Activation Function SP 1751 OP 1756 LK http://dx.doi.org/https://doi.org/10.1109/ICEARS53579.2022.9752283 DO https://doi.org/10.1109/ICEARS53579.2022.9752283 SF ELIB - SuUB Bremen
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