HUBEI AGRICULTURAL SCIENCES ›› 2018, Vol. 57 ›› Issue (15): 16-20.doi: 10.14088/j.cnki.issn0439-8114.2018.15.003

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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

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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