|
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 |
Full text: PDF |
|
Abstract |
|
|
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 |
|
|
Copyright @ 2009 ACADEMY PUBLISHER — All rights reserved |
|