The New Methods of Improving Smooth Degree of Modeling Data Series
- 10.2991/iske.2007.144How to use a DOI?
- Smooth degree, Function transformation, GM(1,1) model, Precision
Improving the smooth degree of modeling data series is key factor of grey model’s precision. According to function transformation theory and grey system modeling theory, elementary study on GM(1,1) model based on function ransformation is given, and the methods of linear function transformation and compound function transformation against modeling data series are put forward to improve model’s precision in the paper. It has been proved that the smooth degree of modeling data series after the two new transformations can be improved. The result of practical application demonstrates use of the two new methods.
- © 2007, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Qiuping Wang AU - Jun Zhang PY - 2007/10 DA - 2007/10 TI - The New Methods of Improving Smooth Degree of Modeling Data Series BT - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007) PB - Atlantis Press SP - 842 EP - 848 SN - 1951-6851 UR - https://doi.org/10.2991/iske.2007.144 DO - 10.2991/iske.2007.144 ID - Wang2007/10 ER -