STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM

STL-ATTLSTM: Vegetable Price Forecasting Using STL and Attention Mechanism-Based LSTM

It is difficult to forecast vegetable prices because they are affected by numerous factors, such as weather and crop production, and the time-series data have strong non-linear and non-stationary characteristics. To address these issues, we propose the STL-ATTLSTM (STL-Attention-based LSTM) model, w...

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Bibliographic Details
Main Authors: Helin Yin, Dong Jin, Yeong Hyeon Gu, Chang-Jin Park, Sang Keun Han, Seong Joon Yoo
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Agriculture
Subjects:
attention mechanism
deep learning
LSTM
STL
vegetable price forecasting
Online Access:https://www.mdpi.com/2077-0472/10/12/612

Internet

https://www.mdpi.com/2077-0472/10/12/612

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