Research Article
Development of Neural Network Model for Predicting Peak Ground Acceleration Based on Microtremor Measurement and Soil Boring Test Data
Table 3
Performance of neural network models (I4H4O1) for the three measuring stations.
| Station | Training () | Verification () | Testing () | EW | NS | V | H | EW | NS | V | H | EW | NS | V | H |
| MS1 | 0.996 | 0.999 | 0.999 | 0.999 | 0.820 | 0.766 | 0.897 | 0.926 | 0.847 | 0.760 | 0.706 | 0.847 | MS2 | 0.997 | 0.992 | 0.995 | 0.997 | 0.918 | 0.656 | 0.726 | 0.761 | 0.815 | 0.728 | 0.737 | 0.601 | MS3 | 0.996 | 0.999 | 1.000 | 0.999 | 0.877 | 0.878 | 0.736 | 0.893 | 0.774 | 0.755 | 0.697 | 0.762 |
| Average | 0.996 | 0.997 | 0.998 | 0.998 | 0.872 | 0.767 | 0.786 | 0.860 | 0.812 | 0.747 | 0.714 | 0.737 |
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