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    題名: 季節性時間序列之預測─類神經網路模式之探討
    Forecasting Seasonal Time Series : A Neural Network Approach
    作者: 賴家瑞
    Lia, Chia Jui
    貢獻者: 吳柏林
    Wu, Berlin
    賴家瑞
    Lia, Chia Jui
    關鍵詞: 季節性時間序列
    神經網路
    移動學習法
    離群值
    預測
    seasonal time series
    neural networks
    shifting learning method
    outliers
    forecasting
    日期: 1993
    上傳時間: 2016-04-29 16:32:33 (UTC+8)
    摘要: 本論文主要研究以類神經網路模式預測季節性時間序列之有效性。利用適
    We investigate the effectiveness of neural networks for
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    Dagum, E. B. (1975) Seasonal factor forecasts from ARIMA models, paper presented at the 40th session of the International Statistic Institute, Warsaw, Poland.
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    Osborn, D. (1991) The implications of periodically varying coefficients for seasonal time-series process. Journal of Econometrics, Vol. 48, 373-384.


    Park, D. C. , El-Sharkawi, M. A. , Marks, R. J. , Atlas, L. E. and Damborg, M.J. (1990) Electric load forecasting using an artifical neural network. IEEE Summer Power Meeting, paper No.90SM 377-2 PWRS.
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    描述: 碩士
    國立政治大學
    應用數學系
    80155005
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002004239
    資料類型: thesis
    顯示於類別:[應用數學系] 學位論文

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