| Functions | Description |
| Network type | Feed forward back-propagation |
| Number of layers | Three layers: two hidden, one output |
| Number of neurons in each layer | 128 neuron for each hidden, 23 neuron in the output, and 128 input node |
| Activation function | Tan-sigmoid |
| Training learning rule | Back-propagation |
| Number of epochs | 1000 |
| Learning rate | Varied |