Table 5.
Comprehensive analysis of soft sensor models based on genetic algorithms (for the list of abbreviations see Table A1).
Ref | Prediction Model | Compared with | RMSE/MSE | MAXE | Best Performance |
---|---|---|---|---|---|
[96] | GA-SVR | 0.1353 | 0.8872 | GA-SVR | |
ANN | 0.9217 | 2.3529 | |||
[97] | GA-SVM | NN | - | - | GA-SVM |
GA-BPNN | - | - | - | GA-BPNN | |
[98] | Hybrid GA-ACO | Conventional GA and stand-alone ACO | - | - | Hybrid GA-ACO |
Ref - References, RMSE – Root Mean Square Error, MAXE –Maximum Absolute Error, MSE – Mean Square Error.