| Architecture |
|
| Number of Layers | 3 |
| Number of Neuron on the Layers | Input 9, Hidden 12, Output 1 |
| Activation Function | Tan-Sigmoid, Purelin |
| Training Parameters |
|
| Learning Rule | Levenberg-Marquardt |
| Adaptive Learning Rate | Initial: 0.01, increase: 1.04, decrease: 0.4 |
| Momentum Constant | 0.94 |
| Sum-Squared Error | 0.004 |
| Epochs | 10000 |