Forecast and Analysis of Agricultural Products Logistics Demand Based on Informer Neural Network: Take the Central China Aera as An Example

Forecast and Analysis of Agricultural Products Logistics Demand Based on Informer Neural Network: Take the Central China Aera as An Example

Ensuring the stability of agricultural products logistics is the key to ensuring people's livelihood. The forecast of agricultural products logistics demand is an important guarantee for rational planning of agricultural products logistics stability. However, the forecasting of agricultural pro...

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Bibliographic Details
Main Authors:	ZUO Min, HU Tianyu, DONG Wei, ZHANG Kexin, ZHANG Qingchuan
Format:	Article
Language:	English
Published:	Editorial Office of Smart Agriculture 2023-03-01
Series:	智慧农业
Subjects:	agricultural products demand forecast informer neural network long short-term memory network (lstm) transformer deep learning
Online Access:	http://www.smartag.net.cn/CN/10.12133/j.smartag.SA202302001

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