Research Article
Artificial Neural Network Model in Prediction of Meteorological Parameters during Premonsoon Thunderstorms
Table 1
Performance comparison of different learning algorithms in hourly temperature prediction.
| Statistical analysis | Dates | STP | MOM | CG | LM | QKP | DBD |
| MAE | May 3, 09 | 3.36 | 3.24 | 2.69 | 2.08 | 3.48 | 3.41 | May 11, 09 | 2.69 | 2.57 | 2.27 | 1.72 | 2.54 | 2.62 | May 15, 09 | 2.93 | 2.66 | 2.08 | 1.21 | 2.69 | 2.90 | Mean | 2.99 | 2.82 | 2.35 | 1.67 | 2.90 | 2.98 |
| RMSE | May 3, 09 | 3.54 | 3.50 | 2.90 | 2.35 | 3.70 | 3.69 | May 11, 09 | 3.07 | 3.02 | 2.44 | 1.90 | 2.99 | 3.19 | May 15, 09 | 3.07 | 2.76 | 2.20 | 1.41 | 2.78 | 3.04 | Mean | 3.23 | 3.09 | 2.51 | 1.89 | 3.16 | 3.31 |
| CC | May 3, 09 | 0.82 | 0.82 | 0.90 | 0.93 | 0.79 | 0.80 | May 11, 09 | 0.89 | 0.89 | 0.94 | 0.97 | 0.89 | 0.86 | May 15, 09 | 0.74 | 0.80 | 0.91 | 0.96 | 0.80 | 0.74 | Mean | 0.82 | 0.84 | 0.92 | 0.95 | 0.83 | 0.80 |
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