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Table 8

Comparison of the obtained results by all methods (i.e. ANN, WANN, MLR)

ModelModel typeCase StudyDC
RMSE (mm)
DC for SCC
CalibrationVerificationCalibrationVerificationVerificationVerification
MLR Linear Tabriz 0.53 0.51 1.595 1.889 0.39 0.53 
ANN Non-linear 0.62 0.59 1.442 1.725 0.52 0.75 
WANN Hybrid 0.80 0.72 1.037 1.436 0.66 0.92 
MLR Linear Sahand 0.55 0.49 1.408 1.614 0.34 0.62 
ANN Non-linear 0.63 0.57 1.278 1.480 0.50 0.72 
WANN Hybrid 0.79 0.69 0.963 1.255 0.62 0.89 
ModelModel typeCase StudyDC
RMSE (mm)
DC for SCC
CalibrationVerificationCalibrationVerificationVerificationVerification
MLR Linear Tabriz 0.53 0.51 1.595 1.889 0.39 0.53 
ANN Non-linear 0.62 0.59 1.442 1.725 0.52 0.75 
WANN Hybrid 0.80 0.72 1.037 1.436 0.66 0.92 
MLR Linear Sahand 0.55 0.49 1.408 1.614 0.34 0.62 
ANN Non-linear 0.63 0.57 1.278 1.480 0.50 0.72 
WANN Hybrid 0.79 0.69 0.963 1.255 0.62 0.89 

Note: DC = determination coefficient; RMSE = root mean square error; SCC = summability condition check.

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