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    题名: 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
    作者: 洪振富
    HONG, ZHEN-FU
    贡献者: 吳安妮
    LU, AN-NI
    洪振富
    HONG, ZHEN-FU
    关键词: 神經網路
    盈餘預測
    會計
    日期: 1993
    1992
    上传时间: 2016-05-02 15:15:39 (UTC+8)
    摘要: 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。
    參考文獻: 一、中文部分
    1 王鵲翔，以平行分散處理模式建立股市預測知識庫，國立臺灣大學商學研究所未出版碩士論文，民國七十九年
    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
    4. 林和譯，混沌:不測風雲的背後，天下文化出版，民國八十年
    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
    6. 胡玉城，暢談類神經網路，倚天資訊公司，民國八十一年
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    二、英文部分
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    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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    Society Press.
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    描述: 碩士
    國立政治大學
    會計學系
    資料來源: http://thesis.lib.nccu.edu.tw/record/#B2002004334
    数据类型: thesis
    显示于类别:[會計學系] 學位論文

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