LSTM architecture.

<div><p>The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers’ planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors jeopardize the long-term sustai...

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Bibliographic Details
Main Author:	Chengjin Yang (16464079) (author)
Other Authors:	Yanzhong Zhai (21511941) (author), Zehua Liu (3919058) (author)
Published:	2025
Subjects:	Biochemistry Biotechnology Science Policy Infectious Diseases Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified sustainable agricultural practices series denoising method module wavelet transform maize price volatility generate attention vectors convolutional enhancement network china &# 8217 key temporal features input features along five major corn corn price forecasting paper effectively captures term memory network term memory capabilities unique bidirectional structure corn price data improve prediction accuracy accurately predicting short data fully demonstrate local features corn sector corn prices prediction accuracy effectively separating accurately extracts term trends term dependencies data complexity bidirectional time bidirectional processing xlink "> trend information thereby enhancing signal details r2 values producing regions planting decisions multiple scales mse values mape values mae values increase uncertainty income stability filter time factors jeopardize extensive experimentation excellent performance different datasets dataset utilized complex dependencies
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LSTM architecture.

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