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    Please use this identifier to cite or link to this item: http://ir.cnu.edu.tw/handle/310902800/2530

    標題: 台灣地區強地動研究整合計畫-譜震度與活斷層區應變分佈之研究
    Comparative Study of PGA Attenuation Relations Deduced from Least Squares Method and Genetic Algorithm
    作者: 葉永田
    貢獻者: 休閒保健管理系
    關鍵字: Attenuation Law
    Regression analysis
    Peak Ground Acceleration
    Genetic Algorithm
    日期: 2007
    上傳時間: 2008-07-31 16:50:45 (UTC+8)
    出版者: 台南縣:嘉南藥理科技大學休閒保健管理系
    摘要: In engineering applications, attenuation relationship is one of the key elements in a seismic hazard analysis. However, it is difficult to find the optimal solution of coefficients in attenuation model using traditional mathematical methods because of its nonlinearity. Besides, it is not reasonable to use unweighted regression analysis in which each recording carried an equal weight due to nonuniform distribution of data with respect to distance. In this study, least squares method (LSM) and genetic algorithm (GA) are employed as nonlinear regression methods to find the optimal solution of parameters in attenuation model to compare the robustness and predicted accuracy of the two methods. Different weights (equal and unequal weights) of each recording were used to compare the adaptability of the weights for practical application. Considering the hazard and energy radiation of an earthquake, the unequal weight of each recording are defined as function of distance. Moreover, the regression analysis of horizontal peak ground acceleration (PGA) attenuation model in southwest Taiwan was studied.
    Appears in Collections:[休閒保健管理系(所)] 國科會計畫

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