- 期刊
The Optimization of GM (1, N) Model and New Method of Forecasting
並列摘要
On one hand, reconstruct a new GM (1, N) model equation by using a kind of optimized background value, and we discover that the new GM (1, N) model has higher simulated value and precision obviously, especially the series of data change sharply. On the other hand, deduce a forecasting formula that can suit the situation which the drive coefficient matrix of GM (1, N) model equation group is reversible, overcome the defect of nested model which require the drive coefficient matrix of GM (1, N) model equation group should be triangular array. Using the new forecasting formula, we can discover the new GM (1, N) model has higher prognostic precision.
延伸閱讀
- Huang, K. Y., Chang, T. C., & Chyu, Y. W. (2010). A Hybrid Model to Improve the Capabilities of Forecasting Based on GRA and ANN Theories. Journal of Grey System, 13(1), 1-9. https://doi.org/10.30016/JGS.201003.0001
- Hung, K. C., Hsu, F. Y., Wu, K. J., Wen, K. L., & Wu, J. H. (2007). An Enhanced GM(1,1) Grey Prediction Approach with Error Term μ(k). Journal of Grey System, 10(2), 59-68. https://doi.org/10.30016/JGS.200709.0001
- ASIF, H. M. S., HAYAT, M. F., & AHMAD, T. (2014). An Efficient and Simplified Model for Forecasting using SRM. Mehran University Research Journal of Engineering and Technology, 33(1), a49-58. https://www.airitilibrary.com/Article/Detail?DocID=P20170126001-201401-201702030001-201702030001-a49-58
- Li, M., & Wei, Y. (2016). A New Method for Solving The Parameters in Non-Equidistant GM(1,1) Power Model. Journal of Grey System, 19(2), 67-71. https://www.airitilibrary.com/Article/Detail?DocID=10289488-201606-201606210011-201606210011-67-71
- Liang, J., Jiang, M. Y., & Wei, Y. (2016). The Non-homogeneous GM(1,1) Optimization Model of Background Value and Parameters. Journal of Grey System, 19(3), 129-134. https://www.airitilibrary.com/Article/Detail?DocID=10289488-201609-201609080002-201609080002-129-134