Table 3 The RMSE, MSE, and R2 of each model in the training and testing stages
From: Predicting the discharge coefficient of oblique cylindrical weir using neural network techniques
Method | Train data set | Test data set | ||||
|---|---|---|---|---|---|---|
MSE | RMSE | R2 | MSE | RMSE | R2 | |
RBFN | 1.83E-24 | 1.35E-12 | 0.999 | 6.80E-05 | 0.0082 | 0.993 |
BRNN | 5.26E-08 | 0.00023 | 0.997 | 0.0002 | 0.014 | 0.992 |
CFNN | 3.45E-07 | 0.0006 | 0.997 | 7.79E-05 | 0.009 | 0.991 |