Neural Network Architecture

(typically: feedforward, 3 - layer, trained with backprop)

 
     
 

 
     
     
     
 
  • Decision variables are suitably coded to feed the neural network.
  • Weights are determined through a training process employing historical data.
  • A trained neural network provides decision outputs on new cases.