DocumentCode
3406450
Title
A method of modeling logistic
Author
Wang, Yinao ; Wu, Lifeng ; Cai, Fengjing
Author_Institution
Coll. of Math. & Inf. Sci., Wenzhou Univ., Wenzhou, China
fYear
2009
fDate
10-12 Nov. 2009
Firstpage
1193
Lastpage
1197
Abstract
Based on the grey system direct modeling method, we put forward a method of modeling Logistic under the criterion of minimizing sum of the squares of the modified relative error (SSMRE), and applied it in the U.S.A population forecasting. Results show that this method can remarkably reduce mean absolute percentage error (MAPE) and the built model can preferably represent the whole historical population law. The process of modeling shows that this method is more convenient than the traditional modeling method.
Keywords
grey systems; logistics; mean square error methods; minimisation; U.S.A population forecasting; built model; grey system direct modeling method; mean absolute percentage error; minimizing sum; modeling logistic method; modified relative error; whole historical population law; Agriculture; Energy consumption; Information science; Intelligent systems; Least squares approximation; Least squares methods; Logistics; Mathematics; Parameter estimation; Predictive models;
fLanguage
English
Publisher
ieee
Conference_Titel
Grey Systems and Intelligent Services, 2009. GSIS 2009. IEEE International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4914-9
Electronic_ISBN
978-1-4244-4916-3
Type
conf
DOI
10.1109/GSIS.2009.5408093
Filename
5408093
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