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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/44298


    Title: 智慧型差分自回歸移動平均模型於時間序列預測之研究;Intelligent ARIMA Approach to the Problem of Time Series Forecasting
    Authors: 胡肇文;Jhao-Wun Hu
    Contributors: 資訊管理研究所
    Keywords: 粒子群最佳化演算法;複合式學習法;自我組織;分群;差分自回歸移動平均模型;遞迴最小平方估計法;類神經模糊系統;時間序列預測;particle swarm optimization (PSO);recursive least-squares estimator (RLSE);neuro-fuzzy;time series forecasting;hybrid learning;cluster-based;ARIMA;self-organizing
    Date: 2010-07-26
    Issue Date: 2010-12-08 14:58:15 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 智慧型差分自回歸移動平均模型於時間序列預測之研究Intelligent ARIMA Approach to the Problem of Time Series Forecasting
    Appears in Collections:[Graduate Institute of Information Management] Electronic Thesis & Dissertation

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