Research Article
Application of Soft Computing Techniques for the Analysis of Tractive Properties of a Low-Power Agricultural Tractor under Various Soil Conditions
Table 3
Error metrics of best model performances.
| Model | Train | Validation | MAE | RMSE | R2 | MAE | RMSE | R2 |
| Traction force |
| ANN | 0.026 | 0.037 | 0.957 | 0.029 | 0.040 | 0.954 | ANN + GA | 0.064 | 0.084 | 0.808 | 0.063 | 0.087 | 0.820 | ANN_BP + GA | 0.026 | 0.037 | 0.958 | 0.028 | 0.040 | 0.955 | ANFIS | 0.042 | 0.061 | 0.892 | 0.045 | 0.064 | 0.888 |
| Tractive efficiency |
| ANN | 0.022 | 0.030 | 0.975 | 0.024 | 0.037 | 0.954 | ANN + GA | 0.076 | 0.102 | 0.789 | 0.068 | 0.096 | 0.752 | ANN_BP + GA | 0.022 | 0.030 | 0.975 | 0.024 | 0.037 | 0.954 | ANFIS | 0.038 | 0.061 | 0.883 | 0.040 | 0.064 | 0.872 |
|
|