Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme

Enhancing the FFT-LSTM Time-Series Forecasting Model via a Novel FFT-Based Feature Extraction–Extension Scheme

The importance of enhancing the accuracy of time-series forecasting using artificial intelligence tools is increasingly critical in light of the rapid advancements in modern technologies, particularly deep learning and neural networks. These approaches have already shown considerable advantages over...

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Bibliographic Details
Main Authors: Kyrylo Yemets, Ivan Izonin, Ivanna Dronyuk
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Big Data and Cognitive Computing
Subjects:
time series
forecasting
ANN
deep learning
LSTM
data preprocessing
Online Access:https://www.mdpi.com/2504-2289/9/2/35

Internet

https://www.mdpi.com/2504-2289/9/2/35

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