水位流量曲线BP神经网络逼近与多项式拟合对比

Comparison of Stage-discharge Curve Fitting Based on BP Neural Network and Polynomial Fitting

介绍了水位流量曲线的反向传播(BP)神经网络逼近方法,使用MATLAB对逼近精度和误差进行分析;介绍了水位流量曲线的多项式拟合方法,并借助OriginPro分析了拟合精度。从拟合原理、拟合精度、适用场合等方面对这2种拟合方法的优劣进行了对比。

The method of stage-discharge curve fitting based on BP neural network is introduced,and the approximation precision and error are analyzed with the software MATLAB.Then another method of polynomial fitting is introduced and the fitting precision is analyzed with the software OriginPro.The fitting principle,fitting precision and scope of application of the two methods are compared.The advantage and disadvantage of the two methods are discussed.