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題 名 | Non-Periodic Short-Term Forecast Using Quantum-Based Minimum Tuning Composite Model GM/C3LSP |
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作 者 | Tsai, Hsiu-fen; Chang, Bao-rong; | 書刊名 | Journal of Grey System |
卷 期 | 10:1 2007.06[民96.06] |
頁 次 | 頁9-15 |
分類號 | 319.5 |
關鍵詞 | Grey model; Cumulated 3-point leas square polynomial; Quantum minimization; |
語 文 | 英文(English) |
英文摘要 | Grey model (GM) is used for forecasting the non-periodic short-term time series; however, it may encounter the overshoot effect that in fact leads to big residual errors at the turning-point region of time series. Thus, we herein introduce a cumulated 3-point least square polynomial (C3LSP) for compensating grey model to overcome the overshoot problem Furthermore, a quantum minimization (QM) is schemed to optimally regularize the coefficients for both grey model and C3LSP linearly and thus to effectively improve its predictive accuracy. |
本系統中英文摘要資訊取自各篇刊載內容。