Application Research on Prediction of Regional Logistics Demand

WAN Li; LI Yu-qi; WU Jie-ming

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Application Research on Prediction of Regional Logistics Demand

更新时间：2026-09-04

- Application Research on Prediction of Regional Logistics Demand
- Vol. 28, Issue 9, Pages: 160-164(2011)
- 作者机构：
  
  梧州学院机构计算机科学系,广西,梧州,543002
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2011
- 稿件说明：
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万励, 李余琪, 吴洁明. 区域物流需求预测的应用研究[J]. 微电子学与计算机, 2011, 28(9): 160-164.

WAN Li, LI Yu-qi, WU Jie-ming. Application Research on Prediction of Regional Logistics Demand[J]. 2011, 28(9): 160-164.
万励, 李余琪, 吴洁明. 区域物流需求预测的应用研究[J]. 微电子学与计算机, 2011, 28(9): 160-164. DOI：

WAN Li, LI Yu-qi, WU Jie-ming. Application Research on Prediction of Regional Logistics Demand[J]. 2011, 28(9): 160-164. DOI：

摘要

为了提高区域物流需求精度

综合考虑区域物流需求线性、周期性和非线性信息

提出了采用组合模型的预测方法.通过将各种单一预测模型看作代表不同信息的片段

通过BP神经网络对不同信息进行集成

充分利用各单项预测方法的有用信息

从而提高区域物流需求预测精度.通过上海市的物流需求数据对组合模型进行测试

实验结果表明

组合模型很好揭示了上海物流需求的变化规律

提高了物流需求的预测精度

为区域物流需求预测提供了一种新的思路和方法.

Abstract

In order to improve the precision of regional logistics demand

comprehensive consideration of the regional logistics demand linear

periodic and nonlinear information

the paper proposed a composite model based on all sorts of single forecast model

the integration of different information

make full use of every single forecasting method

so as to improve the useful information regional logistics demand forecasting precision.The logistics demand data from Shanghai to combination model test

the experimental results indicate that the combined model is very good reveals the change rule of Shanghai logistics demand

improved logistics demand forecasting precision for the regional logistics demand forecasting

provides a new thinking and method.

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