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残差灰色预测模型在物流需求预测中的应用
引用本文:周茵. 残差灰色预测模型在物流需求预测中的应用[J]. 铁道运输与经济, 2007, 29(11): 59-61
作者姓名:周茵
作者单位:铁道科学研究院,运输及经济研究所,北京,100081
摘    要:为了提高预测精度,在灰色预测模型的基础上建立残差灰色预测模型,对物流需求进行预测,并以实际铁路货运量算例为基础,作分析比较。结果表明,该方法具有预测精度高、理论可靠、计算简单等优点,具有良好的实用性。

关 键 词:灰色模型  残差  物流需求预测
文章编号:1003-1421(2007)11-0059-03
修稿时间:2007-08-03

Application of Residual Error Gray Forecast Model on Logistics Demand Forecast
Zhou Yin. Application of Residual Error Gray Forecast Model on Logistics Demand Forecast[J]. Rail Way Transport and Economy, 2007, 29(11): 59-61
Authors:Zhou Yin
Affiliation:Transport and Economics Research Institute, China Academy of Railway Sciences, Beijing, 100081, China
Abstract:On the basis of gray model, the residual error gray prediction model is presented in this paper to improve the precision of logistics demand forecast. Comparison analysis is done according to the case study based on railway freight traffic volume. The results show that the residual error gray forecast model is featured with high precision degree, reliable theory basis, simple calculation process, and thus it is very practicable and applicable.
Keywords:Gray Model  Residual Error  Logistics Demand Forecast
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