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

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