【摘要】 通过对物流需求影响因素的分析,建立了回归分析、灰色系统及神经网络方法的物流需求单项预测模型,鉴于单项预测模型的局限性,以误差绝对值加权和最小为最优化准则,建立了物流需求组合预测模型,并辅以实例进行分析和验证,通过误差的分析表明该模型能够改善预测精度,可以作为未来物流需求量预测的有效工具。更多还原

【Abstract】 Analyses the influence factors of logistics demand, make use of regression analyses, grey forecasting and neural network to construct single forecasting model. For some limitations existing in the single models, this paper put forward the combination-forecasting model for logistics demand based on the least error absolute value. Verify the modal with concrete example. The result of error analyses shows that it considerably improves precision of forecast and manifests the validities for forecasting of logistics demand.更多还原