Chung-Hua University Repository:Item 987654321/32271
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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32271


    Title: 一般克利金法、倒傳遞網路與分析調整綜合網路在空間內插之實證比較
    Authors: 葉怡成
    Yeh, I-Cheng
    Contributors: 資訊管理學系
    Information Management
    Keywords: 空間內插;克利金法;倒傳遞網路;分析調整綜合網路
    spatial;method;back-propagation;networks
    Date: 2008
    Issue Date: 2014-06-27 01:49:38 (UTC+8)
    Abstract: 本研究旨在比較一般克利金法、倒傳遞網路與分析調整綜合網路(Analysis-Adjustment-Synthesis Networks, AASN)等三種方法在空間內插的準確度。本研究以台灣地區的降雨分佈為研究案例。研究結果顯示：(1) 對獨立於訓練範例之外的測試範例所作的預測之誤差顯示，分析調整綜合網路最準確，倒傳遞網路次之，一般克利金法最差；且AASN遠優於後二者。(2) 克利金法能配適訓練範例的資料，產生具有幾個局部集中區的降雨量內插模型；倒傳遞網路無法配適訓練範例的資料，只能產生一組接近平行但不等
    In this research, we compared Ordinary Kriging Method, back-propagation neural networks (BPN), and Analysis-Adjustment-Synthesis Networks (AASN) in spatial interpolation applications. This research took rainfall distribution in Taiwan as research case. Th
    Appears in Collections:[Department of Information Management] Journal Articles

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