Theory and Modern Applications
Table 2 Comparison of computing time in wind direction prediction using various numbers of iterations and numbers of data groups
From: Application of a deep learning technique to the problem of oil spreading in the Gulf of Thailand
Number of iterations | Â | Number of data groups | |||
|---|---|---|---|---|---|
| Â | 1 | 5 | 10 | 20 | |
10 | Training set MSE | 0.000146 | 0.000163 | 0.000189 | 0.000673 |
Test set MSE | 0.000617 | 0.000847 | 0.000390 | 0.000488 | |
Time (min.) | 1.186731 | 0.304645 | 0.246017 | 0.218081 | |
50 | Training set MSE | 0.000139 | 0.000140 | 0.000156 | 0.000501 |
Test set MSE | 0.000333 | 0.000513 | 0.000541 | 0.001506 | |
Time (min.) | 15.35515 | 1.886184 | 1.269895 | 1.051647 | |
100 | Training set MSE | 0.000181 | 0.000154 | 0.000070 | 0.000161 |
Test set MSE | 0.000216 | 0.000684 | 0.000174 | 0.000593 | |
Time (min.) | 87.34531 | 4.901157 | 2.792183 | 2.162316 | |