Architecture Training/Testing parameters
The number of layers 3 Training algorithm   Back propagation algorithm
The number of processing elements on the layers Input 7 Mean square error (mse) Training 0.0001
  Hidden 12 Testing  0.02634
  Output 1 1000
Activation function Sigmoid function Epoch  number  
Table 1: Artificial neural network architecture and training/testing parameters.