The Forecasting Model of Flight Delay Based On DMT-GMT Model

被引：0

作者：

Ding, Jianli ^{[1
,2
]}

Li, Huafeng ^{[1
,2
,3
]}

机构：

[1] Civil Aviat Univ China, Coll Comp Sci & Technol, Tianjin 300300, Peoples R China

[2] Civil Aviat Univ China, Tianjin Key Lab Adv Signal Proc, Tianjin 300300, Peoples R China

[3] Tangshan Teacher Coll, Dept Comp Technol, Tianjin 300300, Peoples R China

来源：

2011 AASRI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INDUSTRY APPLICATION (AASRI-AIIA 2011), VOL 1 | 2011年

关键词：

flight delay; danger model theory; grey model; composite prediction; antigen recognition;

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：

In order to solve the problem of flight delay forecasting including the characteristics of airport flight operation, a new composite forecasting model based on the danger model theory and the grey model theory is proposed in this paper. The composite prediction method in this paper uses the pattern of weighted composition which is according to the occupancy proportion of the mean square errors forecasting. The model use the modified approach reflects the periodicity. The experimental result shows that the prediction results is qualified, the new model can meet the requirement of real time prediction for the management of emergency departments.

引用

页码：222 / 225

页数：4