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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Bibliographic Details
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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