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Research on the genetic regression model of Earth-rock dam safety monitoring and its application

机译:地球岩坝安全监测遗传回归模型及其应用研究

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In this paper, the factors which influence the piezometric level of Earth-rock dams are combined randomly by using a genetic algorithm to do selective preference. A new genetic regression model is established based on considering the comprehensive influence of fitting and prediction accuracy in fitness function. Through analyzing the seepage monitoring data of Dong Wu Shi Reservoir, it is shown that the prediction accuracy of this method is better than that of the general statistical regression.
机译:在本文中,通过使用遗传算法进行选择性偏好,随机组合影响地球岩坝压力水平的因素。基于考虑拟合功能的拟合和预测精度的全面影响,建立了一种新的遗传回归模型。通过分析东吴石水库的渗流监测数据,表明该方法的预测准确性优于一般统计回归。

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