| Network Type | Feed-forward back propagation |
| No. of layers | 3 layers: input, hidden and output layers |
| Activation function | Sigmoid activation function |
| Training algorithm | Levenverg-Marquardt back propagation |
| No. of epochs | 1000 |
| Accuracy | 97% |
| Momentum constant | 0.7 |
| Learning rate | 0.9 |