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
Link To Document :
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