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    题名: 類神經網路與結構性時間數列之比較與研究
    The comparison and reaserch between artifical neural network and structural time series
    作者: 陳振鈞
    Chen, Jenn Jiun
    贡献者: 毛維凌
    Mao, Wei Ling
    陳振鈞
    Chen, Jenn Jiun
    关键词: 狀態空間
    卡門濾器
    處理單元
    結構性時間數列
    倒傳遞神經網路
    state space
    kalman filter
    processing element
    artifical neural network
    日期: 1993
    上传时间: 2016-04-29 16:30:12 (UTC+8)
    摘要: 長久以來,人類在萬物中獨具的高智慧特質吸引了無數的哲學家和科學家
    參考文獻: 吳柏林、賴家瑞、劉勇衫，台灣地區外籍觀光旅客意願分析與預
    測模式，民國八十一年
    葉怡成，類神經網路模式應用與質作，儒林圖書，民國八十二年
    元月
    焦成李，神經網路系統必z 論， 儒林圖書，民國八十年十月


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    Brown,R.G.(1963),”Smoothing ,Forecasting and Prediction”, Englewood Cliffs: Prentice Hall.
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    William H.G.(1991),”Econometric Analysis”,Maxwell Machillan.
    Makridakis,S.,Andersen,A.,Carbone,R.,Fildes,R.,Hibun,M.,Lewandowski,R.,Newton,J.,Parzon,E. and Winter,R.(1982), “The Accuracy of Extrapolation(time Series)Methods: Result of Forecasting Competition”, Journal of Forecasting ,PP111-153.
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    描述: 碩士
    國立政治大學
    經濟學系
    80258017
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002004217
    数据类型: thesis
    显示于类别:[經濟學系] 學位論文

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