A Vegetable-Price Forecasting Method Based on Mixture of Experts

A Vegetable-Price Forecasting Method Based on Mixture of Experts

The accurate forecasting of vegetable prices is crucial for policy formulation, market decisions, and agricultural market stability. Traditional time-series models often require manual parameter tuning and struggle to effectively handle the complex non-linear characteristics of vegetable price data,...

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Bibliographic Details
Main Authors: Chenyun Zhao, Xiaodong Wang, Anping Zhao, Yunpeng Cui, Ting Wang, Juan Liu, Ying Hou, Mo Wang, Li Chen, Huan Li, Jinming Wu, Tan Sun
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agriculture
Subjects:
vegetable-price forecasting
time-series forecasting
large language models
deep learning
mixture-of-experts
Online Access:https://www.mdpi.com/2077-0472/15/2/162
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