Walking Back the Data Quantity Assumption to Improve Time Series Prediction in Deep Learning
Deep learning techniques have significantly advanced time series prediction by effectively modeling temporal dependencies, particularly for datasets with numerous observations. Although larger datasets are generally associated with improved accuracy, the results of this study demonstrate that this a...
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| Main Authors: | Ana Lazcano, Pablo Hidalgo, Julio E. Sandubete |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-11-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/14/23/11081 |
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