基于多源信息融合的冷链农产品需求预测模型研究综述

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

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。

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 models ： the 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.