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頁籤選單縮合
題名 | Artificial Neural Networks in Nowcasting Tide Forecasting=類神經網路在潮汐即時預報之應用 |
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作者姓名(中文) | 李宗霖; 林文祺; | 書刊名 | 南亞學報 |
卷期 | 21 2001.08[民90.08] |
頁次 | 頁77-90 |
分類號 | 351.97 |
關鍵詞 | 類神經網路; 全日潮; 半日潮; 混合潮; Artificial neural network; Diurnal tide; Semidiurnal tide; Mixed tide; |
語文 | 英文(English) |
中文摘要 | 本文以倒傳遞類神經網路建立潮汐時序列之預報模式。不需如傳統調和分析法需要求取潮汐之各調和參數,本文預報模式係直接由往昔潮汐之短期記錄,經由類神經網路學習,求取網路之權參數,進而預報潮汐時序列變化。由驗證結果顯示,對不同潮汐形態,如半日潮、全因潮及混合潮等,在未來一年內的潮位變化均可相當準確地預測。 |
英文摘要 | Traditional tidal forecast are estimated by the harmonic analysis using the least squares method to determine the parameters of harmonic, but it used the long term tidal level records. This paper presents an application of the artificial neural network (ANN) for forecasting the nowcasting tidal-level using the short term measuring data. Differing with the need for determination of the parameters in the harmonic analysis, the ANN can easily decide these unknown parameters by learning the input-output interrelation of the short term tidal records. On site tidal-level data with three types of the diurnal, semidiurnal and mixed tides were used to test the performance of the artificial neural network model. The prediction results show that the hourly tidal levels over a long duration can be efficiently predicted using only a very short-term hourly tidal record. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。