Research Article
Short-Term Daily Univariate Streamflow Forecasting Using Deep Learning Models
Table 3
Keras tuner optimized hyperparameter values for Gummera station with its MSE score.
| Hyperparameters | MLP | S-LSTM | Bi-LSTM | GRU | T + 1 | T + 2 | T + 3 | T + 4 | T + 1 | T + 2 | T + 3 | T + 4 | T + 1 | T + 2 | T + 3 | T + 4 | T + 1 | T + 2 | T + 3 | T + 4 |
| Layer_1_units | 25 | 25 | 10 | 25 | 20 | 30 | 15 | 25 | 10 | 25 | 15 | 15 | 5 | 40 | 25 | 15 | Dropout_1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.0 | 0.2 | Layer_2_units | 15 | 40 | 30 | 25 | 30 | 10 | 35 | 10 | 5 | 20 | 10 | 20 | 30 | 20 | 25 | 15 | Learning rate | 0.0001 | 0.0001 | 0.0001 | 0.001 | 0.001 | 0.001 | 0.01 | 0.001 | 0.001 | 0.001 | 0.01 | 0.001 | 0.01 | 0.01 | 0.0001 | 0.001 | Number of epochs | 70 | 90 | 80 | 50 | 60 | 50 | 50 | 80 | 60 | 90 | 50 | 30 | 80 | 40 | 50 | 30 | Number of batch sizes | 60 | 60 | 70 | 60 | 80 | 40 | 30 | 50 | 50 | 40 | 20 | 10 | 20 | 30 | 50 | 40 | Score (MSE) | 0.019 | 0.011 | 0.012 | 0.015 | 0.019 | 0.011 | 0.013 | 0.015 | 0.018 | 0.011 | 0.013 | 0.013 | 0.018 | 0.012 | 0.013 | 0.016 |
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