湖北农业科学 ›› 2018, Vol. 57 ›› Issue (15): 16-20.doi: 10.14088/j.cnki.issn0439-8114.2018.15.003

• 综述 • 上一篇    下一篇

基于多源信息融合的冷链农产品需求预测模型研究综述

王晓平, 闫飞   

  1. 北京物资学院物流学院,北京 101149
  • 收稿日期:2018-04-16 出版日期:2018-08-10 发布日期:2019-12-19
  • 通讯作者: 闫 飞(1992-),女,河南南阳人,在读硕士研究生,研究方向为农产品电商,(电话)18312532569(电子信箱)yfbjwz2017@163.com。
  • 作者简介:王晓平(1979-),女,山东潍坊人,副教授,博士,主要从事农产品电商、物流信息技术等研究,(电话)18312532569(电子信箱)yfbjwz2017@163.com;
  • 基金资助:
    北京市社会科学基金研究基地项目(15JDJGB054)

Review on Demand Forecasting Model of Cold Chain Agricultural Products Based on Multi-source Information Fusion

WANG Xiao-ping, YAN Fei   

  1. School of Logistics, Beijing Wuzi University,Beijing 101149,China
  • Received:2018-04-16 Online:2018-08-10 Published:2019-12-19

摘要: 以冷链农产品需求预测模型的技术提升和预测误差的不断改进为线索,梳理了国内冷链农产品需求预测的相关理论和模型特征。以各类需求预测模型为参考,发现需求预测模型有三大类:单一模型、多源模型组合与智能信息融合;对各类模型的特点和存在的问题做了详细评述,同时结合已有的冷链农产品需求预测的相关文献,对未来非线性、变权技术以及多源信息融合的智能模型在冷链农产品需求预测方面的应用做出了进一步展望。

关键词: 冷链农产品, 需求预测模型, 单一模型, 多源模型组合, 智能信息融合

Abstract: With the technical improvement of the cold chain agricultural product demand forecasting model and the continuous betterment of prediction error as clues, combed the relevant theoretical and model characteristics of domestic cold chain agricultural product demand prediction were reviewed. Based on various demand forecasting models as an reference, it was found that there were three types of demand forecasting modelsthe single model,multi-source model combination and intelligent information fusion. The characteristics and existing problems of various models were commented in detail, meanwhile, combined with the existing related literature of cold-chain agricultural demand forecast, a further prospect was made for the future nonlinear, variable weight technology and multi-source information fusion intelligent model in the cold chain agricultural demand forecast application.

Key words: cold-chain agricultural products, demand forecasting model, single model, multi-source model combination, intelligent information fusion

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