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 |