Crude Oil Price Forecasting Model Based on Neural Networks and Error Correction
Crude oil price forecasting contributes to global economic development. This study proposes a hybrid deep learning model for crude oil price forecasting. First, empirical wavelet transform decomposes raw data into multiple. Then, three neural networks generate preliminary forecasts, which are subseq...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
MDPI AG
2025-01-01
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| Edice: | Applied Sciences |
| Témata: | |
| On-line přístup: | https://www.mdpi.com/2076-3417/15/3/1055 |
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