- 期刊
The Optimization of Background Value in GM(1,1) Model
並列摘要
In this paper, we prove that discrete function with non-homogeneous exponential law is generated by accumulating the discrete function with homogeneous exponential law while discrete function with homogeneous exponential law is generated by inversely-accumulating the discrete function with non-homogeneous exponential law. Based on the error analysis of the Model GM(1,1), we use the discrete function with non-homogeneous exponential law to fit the accumulated sequence in order to propose a new method for optimizing background value in Model GM(1,1). By contrasting the optimum model to the GM one with the simulation, it can be concluded that the new model broke through the restricts of adaption coefficient and it still improved its matching and prediction precision.
被引用紀錄
延伸閱讀
- Zhou, P., & Wei, Y. (2006). The Optimization of Background Value in Grey Model GM (1,1). Journal of Grey System, 9(2), 139-142. https://doi.org/10.30016/JGS.200612.0008
- Vörös, A., Darvas, D., & Bartha, T. (2013). Bounded Saturation-based CTL Model Checking. Proceedings of the Estonian Academy of Sciences.Chemistry, 62(1), 59-70. https://www.airitilibrary.com/Article/Detail?DocID=14060124-201303-201308090037-201308090037-59-70
- Vörös, A., Darvas, D., & Bartha, T. (2013). Bounded Saturation-based CTL Model Checking. Proceedings of the Estonian Academy of Sciences, 62(1), 59-70. https://www.airitilibrary.com/Article/Detail?DocID=17367530-201303-201310180037-201310180037-59-70
- Li, M., & Wei, Y. (2015). A New Grey Verhulst Model Optimizing Background Value and Its Parameters. Journal of Grey System, 18(4), 189-195. https://www.airitilibrary.com/Article/Detail?DocID=10289488-201512-201512170001-201512170001-189-195
- Wang, Y. H., Dang, Y. G., & Liu, S. F. (2010). An Approach of Combining Optimization to Improve Prediction Precision of GM (1, 1) Model. Journal of Grey System, 13(3), 113-118. https://doi.org/10.30016/JGS.201009.0004