Summation layer


Summation layer

Summation layer Probabilistic Neural Network#

Summation layer Probabilistic Neural Network is there is one pattern neuron for each classification of the target variable.

The actual target classification of each training case is stored with each hidden node; the weighted value coming out of a hidden node is fed only to the Summation layer that corresponds to the hidden nodes’s classification. The Summation layer add the values for the classification they represent.

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