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Error Analysis

Plots Measured and Simulated results of a time series model (calculates many error measures)

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% Error=Error1(T,P,TitleOfThePlot)
% ANNN1
%
% NEURAL NETWORK SCRIPT LINK FOR HYDROLOGICAL PURPOSES
%
% Version 2.0
%
% Department of Hydroinformatics
% Delft
% Gerald A. Corzo Perez
% UNESCO-IHE
% www.hi.ihe.nl
% --OO--
%
%
% P= Predicted values (vector)
% T= Target values (vector)
%
%
% Error.MARE=MARE -> Mean Absolute relative error
% Author: Gerald Corzo
% Made Jan 2004
% Updated May /2009
%
Error.RMSE=RMSE;
Error.NSC=NSC;
Error.Cor=Cor;
Error.NRMSE=NRMSE;
Error.MAE=MAE;
Error.StdT=StdT;
Error.StdP=StdP;
Error.MuT=MuT;
Error.MuP=MuP;
Error.PERS=PERS;
Error.SSE=SSE;
Error.SSEN=SSEN; %Sum Squared Error Naive
Error.RMSEN=RMSEN; %RMSE Naive
Error.NRMSEN=NRMSEN; %NRMSE Naive
Error.MARE=MARE;

Comments and Ratings (3)

Pablo Berges

Very useful, thanks for sharing!

Pablo Berges

keys happ

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