Research Article
Design of Jetty Piles Using Artificial Neural Networks
Table 7
RMSE of each MBPNN model from K-fold cross-validation.
| Round | MBPNN model | 13-15-15-12 | 13-10-10-12 | 13-7-15-12 | 13-15-10-12 |
| 1 | 0.0130 | 0.0986 | 0.0482 | 0.1205 | 2 | 0.0606 | 0.0125 | 0.0796 | 0.0118 | 3 | 0.0192 | 0.0086 | 0.1495 | 0.0238 | 4 | 0.0295 | 0.0046 | 0.0675 | 0.0264 | 5 | 0.1138 | 0.0986 | 0.1181 | 0.0078 | 6 | 0.1733 | 0.0383 | 0.1607 | 0.0413 | 7 | 0.0147 | 0.0346 | 0.1218 | 0.1053 | 8 | 0.1147 | 0.0643 | 0.0791 | 0.0730 | 9 | 0.1396 | 0.0461 | 0.1098 | 0.2451 | 10 | 0.0052 | 0.0258 | 0.0343 | 0.0131 |
| Averaged | 0.0684 | 0.0432 | 0.0969 | 0.0668 |
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