Comparison and application of ANN model,piecewise linear interpolation model and nonlinear regression model
The ANN model,the piecewise linear interpolation model and the nonlinear regression model are compared in principle.The ANN model is easy to construct the complex relationships between the various in-fluencing factors and dependent variables.The nonlinear regression model and the piecewise linear interpola-tion model can intuitively express the relationship between the independent and dependent variables through expressions.Taking the relationship between the diversion flow rate through the three outlets of Jingjiang River and the flow rate at Zhicheng station as an application example,the correlation coefficient,Nash efficiency co-efficient,root mean square error and mean absolute error are used to compare the prediction accuracy and error of the three models.The results show that all the three models can be applied to simulate the relationship be-tween flow rates through the three diversion outlets and at the main channel of Jingjiang River.However,based on the four evaluation indexes,the error between the measured value and calculated value by the ANN model is the smallest,followed by the piecewise linear interpolation model,and the calculation accuracy of the regression model is relatively low.
ANN modelnonlinear regression modelpiecewise linear interpolation modelJinjiang Riverthe three diversion outlets
万方数据
维普
