DocumentCode :
1726131
Title :
Grey linear regression model and its application
Author :
Xiao, Xinping ; Lu, Yayun
Author_Institution :
Coll. of Sci., Wuhan Univ. of Technol., Wuhan, China
fYear :
2011
Firstpage :
177
Lastpage :
181
Abstract :
The parameter estimation computation in grey linear regression model is relatively complicated, the development coefficient is decided by its simple average and it´s vulnerable with the aberrant value and logarithmic neck may be negative. Aiming at those problems, in this paper, we present a new estimation method and three kinds of representations of the model including the Range form, Connotation form and Differential form, then, we obtain the relationship between Connotation form and Differential form, and also get the relationship between the model and GM(1,1) model. Finally an application of short-term traffic flow prediction based on the model is given and some good effects have been achieved.
Keywords :
grey systems; parameter estimation; regression analysis; road traffic; GM (1,1) model; connotation form; differential form; grey linear regression model; parameter estimation; range form; short-term traffic flow prediction; Analytical models; Data models; Forecasting; Linear regression; Mathematical model; Predictive models; Roads; Development coefficient; Grey linear regression model; Parameter estimation; Passenger traffic;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Grey Systems and Intelligent Services (GSIS), 2011 IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-61284-490-9
Type :
conf
DOI :
10.1109/GSIS.2011.6044045
Filename :
6044045
Link To Document :
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