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基于改进的GM(1,N)货运量预测模型

宋建强 鲍学英 王起才

铁道科学与工程学报2017,Vol.14Issue(1):180-183,4.
铁道科学与工程学报2017,Vol.14Issue(1):180-183,4.

基于改进的GM(1,N)货运量预测模型

A forecast model for freight volume based on improved GM(1,N) model

宋建强 1鲍学英 1王起才1

作者信息

  • 1. 兰州交通大学 土木工程学院,甘肃 兰州730070
  • 折叠

摘要

Abstract

In order to minis the excessive error from traditional GM(1,N) mode in freight volume forecasting, this paper uses the idea of equal-dimension gray filling to improve the traditional GM(1,N) mode. Meanwhile, using the new forecast data to replace the original data, this paper proposes an improved GM ( 1, N) model. Through a comparative analysis of the results of the two models can be seen that improved GM (1, N) model in forecasting accuracy has been significantly improved than traditional GM (1, N) model. This model can be more timely and accurate reflection of changes in the data. This model, with simple calculation and higher accuracy, has a high practical and research value in the field of freight volume forecasting.

关键词

GM(1,N)模型/货运量/预测

Key words

GM (1,N) model/freight volume/forecast

分类

交通工程

引用本文复制引用

宋建强,鲍学英,王起才..基于改进的GM(1,N)货运量预测模型[J].铁道科学与工程学报,2017,14(1):180-183,4.

基金项目

长江学者和创新团队发展计划资助项目( IRT15R29) ( IRT15R29)

铁道科学与工程学报

OA北大核心CSCDCSTPCD

1672-7029

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