Research Article
Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks
Table 6
Accuracies of the developed GP and ANN models.
| Soil property | Model no. | Output formula | Error % | R2 | Training | Validation | Total | Training | Validation | Total |
| WL | 1 | Equation (1) | 2.0 | 2.9 | 2.3 | 0.993 | 0.991 | 0.992 | 2 | Equation (4) | 1.6 | 2.0 | 1.7 | 0.996 | 0.994 | 0.995 | 3 | Equation (7) | 1.2 | 1.2 | 1.2 | 0.999 | 0.997 | 0.998 |
| Wp | 1 | Equation (2) | 2.3 | 2.9 | 2.5 | 0.972 | 0.967 | 0.969 | 2 | Equation (5) | 2.1 | 2.7 | 2.3 | 0.975 | 0.970 | 0.972 | 3 | Equation (8) | 1.9 | 2.2 | 2.0 | 0.982 | 0.977 | 0.979 |
| Ip | 1 | Equation (3) | 1.7 | 1.9 | 1.8 | 0.998 | 0.996 | 0997 | 2 | Equation (6) | 1.5 | 1.8 | 1.6 | 0.998 | 0.996 | 0.997 | 3 | Equation (9) | 1.5 | 1.5 | 1.5 | 0.999 | 0.997 | 0.998 |
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