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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Haibo Ren Yaoguo Dang Zhengxin Wang |
| Copyright Year | 2007 |
| Description | Author affiliation: Nanjing Univ. of Aeronaut. & Astronaut., Nanjing (Haibo Ren; Yaoguo Dang; Zhengxin Wang) |
| Abstract | Based on the error analysis of the GM(1,1) model, this paper corrects the equidistance sequence and establishes GM(1,1) model of time sequence coefficient with time coefficient. This model overcomes the disadvantage which the residual sequence obtained by residual model may not satisfy the condition of no negativity. The new method simplifies the modeling process and has higher precision of forecast and simulation. Therefore this model had certain theory value and the application value. Example shows that GM(1,1) model of time sequence coefficient is more suitable in fluctuant primary data and also indicates its usability and the reliability. |
| Starting Page | 445 |
| Ending Page | 447 |
| File Size | 662046 |
| Page Count | 3 |
| File Format | |
| ISBN | 9781424412938 |
| DOI | 10.1109/GSIS.2007.4443314 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Technological innovation Error analysis Input variables Ash Predictive models Reliability theory Economic forecasting Agriculture Intelligent systems Usability |
| Content Type | Text |
| Resource Type | Article |
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