Research Article
Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks
Table 1
ANN results from different training algorithms.
| Algorithm | Correlation coefficients | Performance | Training | Validation | Test | All | MSE | Epochs |
| BFG | 0.986 | 0.978 | 0.97 | 0.983 | 10.17 | 21 | CGF | 0.847 | 0.978 | 0.825 | 0.861 | 47.01 | 15 | SCG | 0.98 | 0.988 | 0.981 | 0.981 | 7.41 | 66 | CGP | 0.978 | 0.957 | 0.957 | 0.971 | 21.19 | 12 | CGB | 0.973 | 0.977 | 0.961 | 0.972 | 13.33 | 17 | LM | 0.989 | 0.989 | 0.947 | 0.983 | 6.14 | 8 | RP | 0.977 | 0.97 | 0.947 | 0.971 | 11.52 | 40 |
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