Linear Model and Gradient Feature Elimination Algorithm Based on Seasonal Decomposition for Time Series Forecasting

In the wave of digital transformation and Industry 4.0, accurate time series forecasting has become critical across industries such as manufacturing, energy, and finance. However, while deep learning models offer high predictive accuracy, their lack of interpretability often undermines decision-make...

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Veröffentlicht in:Mathematics (Basel) Jg. 13; H. 5; S. 883
Hauptverfasser: Cheng, Sheng-Tzong, Lyu, Ya-Jin, Lin, Yi-Hong
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.03.2025
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ISSN:2227-7390, 2227-7390
Online-Zugang:Volltext
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