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Proceedings of the 2nd International Symposium on Information Processing (ISIP 2009)

Huangshan, China, August 21-23, 2009

Editors: Fei Yu, Jian Shu, and Guangxue Yue

AP Catalog Number: AP-PROC-CS-09CN002

ISBN: 978-952-5726-02-2 (Print), 978-952-5726-03-9 (CD-ROM)

Page(s): 286-289

The Class Ratio Modeling Method of Non- Equigap GM(1,1) Model

Kang Xiaoqing , Wei Yong, and Shen Ying

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Based on the analysis of the influence of the class ratio modeling to the model smoothness in equigap model, in this paper we put forward a practical method of raising non- equigap grey prediction precision that we model to non-equigap GM (1,1) model by the class ratio modeling method ,at the same time, propose a method that we predict the non-equigap model by carrying out prediction to the temporal series index with linking the suitable model, which is utilized to optimize and forecast the non- equigap model with the new method. Ultimately, examples that are cited from the actual works show that the method is good in stimulation and prediction precision.

Index Terms

non-equigap model, interpolation, the class ratio, optimization

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