Research Article
Peak Ground Acceleration Prediction by Artificial Neural Networks for Northwestern Turkey
Table 3
The final architectures of the models (i), (ii), (iii), (iv).
| Model | Inputs | Outputs | FFBP method | GRNN method | RBF method | | | | Spread values | Spread values |
| (i) | , FD, HD and SC | PGA for E-W | 5 | tan-sigmoid | log-sigmoid | 0.015 | 0.022 | (ii) | , FD, HD and SC | PGA for N-S | 5 | log-sigmoid | log-sigmoid | 0.062 | 0.039 | (iii) | , FD, HD and SC | PGA for U-D | 2 | tan-sigmoid | log-sigmoid | 0.076 | 0.018 | (iv) | , FD, HD, SC and D | Max. PGA | 7 | log-sigmoid | log-sigmoid | 0.28 | 0.060 |
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