Research Article
Hybrid Models for Weather Parameter Forecasting
Table 2
Comparison of errors and time taken for maximum temperature, Delhi.
| Methods | Time taken | MAE | RMSE | RAE (%) | RRSE (%) |
| RBF | 0.26 | 1.97 | 2.18 | 42.51 | 46.88 | W-RBF | 0.22 | 1.17 | 1.08 | 42.40 | 46.80 | N-RBF | 0.18 | 1.09 | 1.07 | 42.24 | 46.88 | W-N-RBF | 0.14 | 1.07 | 1.06 | 42.14 | 46.72 | SMO | 0.32 | 3.08 | 3.86 | 45.54 | 50.56 | W-SMO | 0.3 | 2.78 | 3.47 | 45.06 | 51.23 | N-SMO | 0.28 | 2.75 | 3.32 | 43.10 | 48.12 | W-N-SMO | 0.28 | 2.71 | 3.45 | 41.97 | 46.90 | LibSVM | 0.48 | 2.74 | 3.50 | 102.89 | 141.89 | W-LibSVM | 1.75 | 2.75 | 3.45 | 101.45 | 141.85 | N-LibSVM | 1.72 | 2.74 | 3.45 | 100.55 | 141.55 | W-N-LibSVM | 1.97 | 2.72 | 3.44 | 100.11 | 141.43 |
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