Research Article
Predicting Geotechnical Investigation Using the Knowledge Based System
Table 5
Training datasets.
| | Input parameters | | Equivalent investigation ratio | | LG | PC | GEO | SIM | |
| | 1 | 1 | 1 | 1 | 1.00 | 0 | | 1 | 1 | 1 | 10 | | 0.248 | | 1 | 1 | 10 | 1 | | 0.248 | | 1 | 10 | 1 | 1 | | 0.142 | | 10 | 1 | 1 | 1 | | 0.071 | | 1 | 1 | 10 | 10 | | 0.582 | | 1 | 10 | 10 | 1 | | 0.440 | | 10 | 10 | 1 | 1 | | 0.227 | | 10 | 1 | 10 | 1 | | 0.348 | | 1 | 10 | 1 | 10 | | 0.440 | | 10 | 1 | 1 | 10 | | 0.348 | | 10 | 10 | 10 | 1 | | 0.553 | | 1 | 10 | 10 | 10 | | 0.844 | | 10 | 10 | 1 | 10 | | 0.553 | | 10 | 1 | 10 | 10 | | 0.709 | | 10 | 10 | 10 | 10 | | 1 |
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