Chung-Hua University Repository:Item 987654321/32022
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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32022


    Title: 橢圓空間機率神經網路
    Authors: 葉怡成
    Yeh, I-Cheng
    Contributors: 資訊管理學系
    Information Management
    Keywords: 類神經網路;機率神經網路;變數重要性;分類
    artificial;network;probabilistic;network;variable importance;classification
    Date: 2009
    Issue Date: 2014-06-27 01:41:53 (UTC+8)
    Abstract: 本研究提出橢圓空間機率神經網路 (Ellipse-Space Probabilistic Neural Networks, EPNN)，它擁有三種可透過訓練來修正的網路參數：代表輸入變數重要性的變數權值、代表樣本有效範圍的核寬倒數、及代表樣本可靠程度的資料權值。這些網路參數可以提升模型的準確度，並計算出重要性指標，以提供評估輸入變數重要性的能力。為證明此網路的性能，本研究以三個人為的分類問題以及七個實際的分類問題來做測試，並與倒傳遞網路及機率神經網路做比較。結果證明：(1) 在人為的分類問題EPNN的模型
    This study proposed the ellipse-space probabilistic neural network (EPNN), which includes three kinds of network parameters that can be adjusted through training: the variable weight representing the importance of each input variable of each pattern, the
    Appears in Collections:[Department of Information Management] Journal Articles

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