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Defining a Network Topology

  • Decide the network topology: Specify # of units in the input layer, # of hidden layers (if > 1), # of units in each hidden layer, and # of units in the output layer
  • Normalize the input values for each attribute measured in the training tuples to [0.0—1.0]
  • One input unit per domain value, each initialized to 0
  • Output, if for classification and more than two classes, one output unit per class is used
  • Once a network has been trained and its accuracy is unacceptable, repeat the training process with a different network topology or a different set of initial weights

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