An Improved Seasonal Variation Model

Author

Zhang, Xiao Wei ; Shen, Bing ; Zhang, Heng

Author_Institution

Northwest Water Resources & Environ. Ecology Key Lab., XAUT, Xi´´an

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

92

Lastpage

96

Abstract

Aiming at the shortage of traditional seasonal variation model, the combination of gray model with self-memory model was proposed for improving traditional seasonal variation model. The application of gray model used to dig out the long time trend and self-memory model to solve problem of non-linearity of the model´s seasonal fluctuation. The case study showed that the proposed model has higher precision than traditional seasonal variation model and it has the better adaptability, which is a better kind of seasonal variation model.

Keywords

biology; time series; gray model; improved seasonal variation model; seasonal fluctuation; self-memory model; Biological system modeling; Environmental factors; Equations; Fluctuations; Information retrieval; Least squares approximation; Mathematical model; Predictive models; Uncertainty; Water resources; combination; dig; gray model; modify; seasonal variation model; self-memory model;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2008. ICNC '08. Fourth International Conference on

Conference_Location

Jinan

Print_ISBN

978-0-7695-3304-9

Type

conf

DOI

10.1109/ICNC.2008.291

Filename

4667108