Research Article
Seismic Failure Probability of a Curved Bridge Based on Analytical and Neural Network Approaches
Table 2
The network training parameters.
| Parameter | Value |
| The network parameters in each group | ā | Number of training examples (randomly) | 90 | Number of training examples (randomly) | 19 | Number of testing examples (randomly) | 20 | Iteration number (maximum) | 1000 | Learning rate (lr) | 1 | Momentum constants | 0.5 | Error tolerance | 0.001 | ANN structure | 8:HN:4 |
|
|