Chung-Hua University Repository:Item 987654321/32120
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    Please use this identifier to cite or link to this item: http://chur.chu.edu.tw/handle/987654321/32120


    Title: 類神經網路與經驗公式在高性能混凝土抗壓強度預測之比較
    Authors: 葉怡成
    Yeh, I-Cheng
    Contributors: 資訊管理學系
    Information Management
    Keywords: 高性能混凝土;抗壓強度;預測;類神經網路;經驗公式
    high-performance;strength;prediction;artificial;networks;experimental formulae
    Date: 2005
    Issue Date: 2014-06-27 01:45:05 (UTC+8)
    Abstract: 由於高性能混凝土的組成比傳統混凝土更複雜，因而提高了混凝土抗壓強度預測的困難度，使得迴歸分析無法建立精確的預測模型。類神經網路具有建立精確預測模型的能力，因此本研究使用此技術與一個大型的實驗數據集，來建立高性能混凝土強度預測模型。此外，利用相同的實驗數據集，本研究應用非線性迴歸分析來決定三種經驗公式的係數，並比較其結果與類神經網路的結果。最後，透過抗壓強度實驗，證明類神經網路可以建立遠比經驗公式更精確之高性能混凝土強度模型。
    Because the proportions of high-performance concrete (HPC) are more complex than those of conventional concrete, the difficulty of prediction of strength has been increased, and an accurate model cannot be induced using regression analysis. An artificial
    Appears in Collections:[Department of Information Management] Journal Articles

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