Regional logistics demand forecast based on RBF artificial neural network model

被引：0
|
作者：
Hou, R [1 ]
Wang, W [1 ]
Xi, B [1 ]
机构：
[1] Harbin Inst Technol, Sch Management, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF 2003 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE & ENGINEERING, VOLS I AND II | 2003年
关键词：
regional logistics; demand forecasting; RBF neural network;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The regional logistics demand volume is one of the most important data for the government to stimulate polices and for the enterprises to make investment decisions. This article analyzes the factors which affect on the regional logistics demand comprehensively, and sets up the index system about the factors and the logistics demand. Then a neural-network-based forecasting model for the regional logistics demand is given. Empirical results using Shanghai statistical data shows that RBF neural network model is a very promising neural network model for logistics demand forecast in term of predictive accuracy and adaptability.
引用
收藏
页码：386 / 390
页数：5
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