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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/53465


    Title: 相關性隱藏節點與學習演算法
    Other Titles: The Correlated Hidden Nodes and the Learning Algorithm
    Authors: 蔡瑞煌
    Contributors: 政治大學資訊管理系
    行政院國家科學委員會
    Keywords: 學習演算法
    Date: 2006
    Issue Date: 2012-08-30 15:50:03 (UTC+8)
    Abstract: 本研究基於(Tsaih & Lin, 2004)和(Tsaih, 2006)之研究成果，在第一年先研討如何利用相 關性隱藏節點（Correlated hidden nodes）來開發新的類神經網路學習演算法。在第二年， 再探討此新的類神經網路學習演算法是否能有效地應用在財務金融上；本研究將以債券 評價實驗為例，驗證新的類神經網路學習演算法的可行性，實證結果。
    Based upon (Tsaih & Lin, 2004) and (Tsaih, 2006), this research project will first study an effective learning algorithm of using correlated hidden nodes to set up a three-layer feed-forward neural network. Then, at the second year, this research project will examine the practical effectiveness of this learning algorithm through an financial application.
    Relation: 基礎研究
    學術補助
    研究期間:9508 ~ 9607
    研究經費:613仟元
    Data Type: report
    Appears in Collections:[Department of MIS] NSC Projects

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