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基于改进抛物线模型的物流需求预测研究
引用本文:程 杰,李小玲.基于改进抛物线模型的物流需求预测研究[J].甘肃科学学报,2014(1):139-142.
作者姓名:程 杰  李小玲
作者单位:西南交通大学交通运输与物流学院,四川成都610031
摘    要:为了提高物流需求的预测精度,选取货运量作为衡量物流需求的指标,在对非线性回归中的抛物线模型进行探讨的基础上,对其进行改进,得到新陈代谢的抛物线模型.以四川省物流需求预测为实例进行检验,结果显示该模型的预测精度达到96.9%,预测精度等级为1级,证明了该模型的实用性.

关 键 词:物流需求  货运量  抛物线模型  新陈代谢

Prediction of Logistics Demand Based on Improved Parabolic Model
CHENG Jie,LI Xiao-ling.Prediction of Logistics Demand Based on Improved Parabolic Model[J].Journal of Gansu Sciences,2014(1):139-142.
Authors:CHENG Jie  LI Xiao-ling
Institution:( School of Traffic Transportation and Logistics, Southwest Jiaotorzg University, Chengdu 610031, China )
Abstract:Aimed to improve the accuracy of predicting logistics demand,the parabolic model of metabo lism,by choosing the cargo as the index to measure logistics demand,was constructed on the basis of analy zing and altering the parabolic model of the nonlinear regression model. In addition, the prediction of logis tics demand in Siehuan province was tested with the model, and the results show that the prediction accura cy of the model is 96.9%,which has proved the practicability of the model.
Keywords:Logistics demand  Cargo  Parabolic model  Metabolism
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