Table 3 The predictive performance of PSO-GA-BPNN models.
Training data set | Test data set | |||||
|---|---|---|---|---|---|---|
\(MAE\) | \(MAPE\) | \(RMSE\) | \(MAE\) | \(MAPE\) | \(RMSE\) | |
Production temperature, (\(T_{pro}\)) | 0.115 ℃ | 0.065 | 0.191 ℃ | 0.1965 ℃ | 0.111 | 0.289 ℃ |
Enthalpy difference, (\(h_{pro} - h_{inj}\)) | 0.487 kJ/kg | 0.088 | 0.579 kJ/kg | 0.987 kJ/kg | 0.178 | 1.334 kJ/kg |
Pressure difference, (\(P_{inj} - P_{pro}\)) | 0.353 MPa | 1.704 | 0.416 MPa | 0.575 MPa | 2.730 | 0.751 MPa |
