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  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 gif.
Tue Nov 28 10:30:44 MET 1995