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    Title: 盈餘預測準確性之比較及決定性因素之實證研究--神經網路模型之應用
    Authors: 洪振富
    HONG, ZHEN-FU
    Contributors: 吳安妮
    LU, AN-NI
    洪振富
    HONG, ZHEN-FU
    Keywords: 神經網路
    盈餘預測
    會計
    Date: 1993
    1992
    Issue Date: 2016-05-02 15:15:39 (UTC+8)
    Abstract: 本研究之目的在嘗試將神經網路模型應用於會計盈餘預測。盈餘預測資訊可用來評估公司之獲利能力及真正價值,若能找出相當準確的盈餘預測模型,將有助於管理當局及投資大眾從事各種投資及理財決策。過去許多研究試圖以各種計量方法來找出較準確的盈餘預測模型,然因種種模型及統計上之限制,都未能獲致良好的結果。
    Reference: 一、中文部分
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    2 白晉榮,股價預測:專家系統給例學習法之研究,國立政治大學企業管理研究所未出版碩士論文,民國七十八年
    3. 李順成譯,計量經濟學理論與應用(上,下冊) ,曉園出版社,民國七十八年
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    5. 林維婿,台灣上市公司盈餘預測:時間數列與公司預期之比較暨聯合效益分析,國立政治大學會計研究所未出版碩士論文,民國七十九年
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    14.楊建民、張碧環、司怡平及蘇佩芬,在微平行電腦上發展類神經網路演算法以預測台灣股市行為,國科會研究計畫報告(NSC 81-0301 -H 000 4-18 ) 。
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    二、英文部分
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    11 Crooks Ted, Care and Feeding of Neural Networks, AI Expert, July 1992, pp. 36-41
    12 Cybenko, G., Continuous Valued Neural Networks with Two Hidden Layers Are Sufficient, Technical Report, 1988, Department of Computer Science, Tufts University.
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    Description: 碩士
    國立政治大學
    會計學系
    Source URI: http://thesis.lib.nccu.edu.tw/record/#B2002004334
    Data Type: thesis
    Appears in Collections:[Department of Accounting] Theses

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