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

机译:土石坝安全监控的遗传回归模型研究与应用

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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:本文采用遗传算法对土石坝测压水位的影响因素进行随机组合,进行选择偏好。考虑拟合度和预测精度对适应度函数的综合影响,建立了新的遗传回归模型。通过对东吴石水库渗流监测数据的分析,表明该方法的预测精度优于一般统计回归方法。

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