A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network

A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network

In order to address the significant prediction errors resulting from the substantial fluctuations in agricultural product prices and the non-linear features, this paper proposes a hybrid forecasting model based on variational mode decomposition (VMD), ensemble empirical mode decomposition (EEMD), an...

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Bibliographic Details
Main Authors: Changxia Sun, Menghao Pei, Bo Cao, Saihan Chang, Haiping Si
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Agriculture
Subjects:
price forecasting
dual decomposition
variational mode decomposition
ensemble empirical mode decomposition
long short-term memory network
Online Access:https://www.mdpi.com/2077-0472/14/1/60

Internet

https://www.mdpi.com/2077-0472/14/1/60

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