Research Article
Predicting Nanobinder-Improved Unsaturated Soil Consistency Limits Using Genetic Programming and Artificial Neural Networks
Table 2
Statistical analysis of collected database.
| ā | Hc | C | Ac | WL | Wp | Ip |
| Training set | Max. | 0.00 | 0.23 | 0.62 | 0.28 | 0.13 | 0.14 | Min | 0.12 | 0.24 | 2.00 | 0.66 | 0.21 | 0.45 | Avg | 0.06 | 0.23 | 1.39 | 0.49 | 0.17 | 0.32 | SD | 0.03 | 0.00 | 0.37 | 0.11 | 0.02 | 0.08 | Var | 0.58 | 0.01 | 0.27 | 0.22 | 0.13 | 0.27 |
| Validation set | Max. | 0.00 | 0.23 | 0.60 | 0.27 | 0.13 | 0.14 | Min | 0.12 | 0.24 | 1.93 | 0.65 | 0.21 | 0.45 | Avg | 0.07 | 0.24 | 1.26 | 0.46 | 0.17 | 0.29 | SD | 0.04 | 0.00 | 0.43 | 0.13 | 0.03 | 0.10 | Var | 0.58 | 0.01 | 0.34 | 0.28 | 0.16 | 0.35 |
|
|