頁籤選單縮合
題 名 | The Optimization of Background Value in GM(1,1) Model |
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作 者 | Wang, Zheng-xin; Dang, Yao-guo; Liu, Si-feng; Zhou, Jing; | 書刊名 | Journal of Grey System |
卷 期 | 10:2 2007.09[民96.09] |
頁 次 | 頁69-74 |
分類號 | 314 |
關鍵詞 | GM(1,1) mode; Background value; Optimization; Prediction; |
語 文 | 英文(English) |
英文摘要 | 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. |
本系統中英文摘要資訊取自各篇刊載內容。