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文章结合思维进化算法(Mind Evolutionary Computation,MEC),采用加权残差绝对值和最小准则对瞬时单位线模型参数进行估计,实例表明使用此方法率定的参数还原的径流过程与实测径流过程拟合优于其他方法。
Combined with the Mind Evolutionary Computation (MEC) method, the parameters of the instantaneous unit line model are estimated by using the absolute value of the weighted residuals and the minimum criterion. The examples show that the parameterized runoff method calibrated with this method is fitted with the measured runoff process Better than other methods.