Research Article
Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach
Table 7
The computational time required for the training phase from each model.
| Model | Time (s) | Model | Time (s) |
| USGS 14181500 station | | | | ELM-M1 | 0.007 | SVR-M1 | 5486.311 | ELM-M2 | 0.019 | SVR-M2 | 961.291 | ELM-M3 | 0.015 | SVR-M3 | 75.623 | ELM-M4 | 0.004 | SVR-M4 | 1757.157 | ELM-M5 | 0.018 | SVR-M5 | 869.159 | ELM-M6 | 0.024 | SVR-M6 | 397.216 | ELM-M7 | 0.023 | SVR-M7 | 160.172 | ELM-M8 | 0.033 | SVR-M8 | 85.000 | Mean | 0.018 | | 1223.991 |
| USGS 14150000 station | | | | ELM-M1 | 0.012 | SVR-M1 | 3472.969 | ELM-M2 | 0.003 | SVR-M2 | 8305.326 | ELM-M3 | 0.008 | SVR-M3 | 267.823 | ELM-M4 | 0.015 | SVR-M4 | 645.349 | ELM-M5 | 0.033 | SVR-M5 | 345.758 | ELM-M6 | 0.049 | SVR-M6 | 7281.479 | ELM-M7 | 0.017 | SVR-M7 | 1446.514 | ELM-M8 | 0.031 | SVR-M8 | 309.020 | Mean | 0.021 | | 2759.280 |
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