This procedure first selects evenly distributed centers 
from the loaded training patterns and assigns them to the links between
input and hidden layer. Subsequently the bias of all neurons (parameter p)
inside the hidden layer is set to a value determined by the user and finally
the links between hidden and output layer are computed. For more details
see chapter 
.