From: Prediction of environmental indicators in land leveling using artificial intelligence techniques
Optimization method | Fis type | MSE | R 2 | ||||
---|---|---|---|---|---|---|---|
Min. | Ave. | Max. | Min. | Ave. | Max. | ||
Cost | |||||||
Hybrid | Mamdani | 0.00122 | 0.00188 | 0.00387 | 0.9837 | 0.9921 | 0.9949 |
Sugeno | 0.00119 | 0.00185 | 0.00394 | 0.9834 | 0.9922 | 0.9950 | |
Back propagation | Mamdani | 0.00140 | 0.00251 | 0.00465 | 0.9805 | 0.9894 | 0.9941 |
Sugeno | 0.00141 | 0.00250 | 0.00465 | 0.9805 | 0.9895 | 0.9940 | |
Energy | |||||||
Hybrid | Mamdani | 0.00059 | 0.00121 | 0.00353 | 0.9856 | 0.9950 | 0.9975 |
Sugeno | 0.00058 | 0.00120 | 0.00356 | 0.9855 | 0.9952 | 0.9976 | |
Back propagation | Mamdani | 0.00077 | 0.00183 | 0.00395 | 0.9839 | 0.9925 | 0.9968 |
Sugeno | 0.00080 | 0.00182 | 0.00395 | 0.9839 | 0.9926 | 0.9967 |