Probabilistic neural network: Difference between revisions

Revision as of 12:34, 8 December 2018

Revision as of 12:03, 16 January 2019

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===Summation layer===

For PNN networks there is one pattern neuron for each category of the target variable. The actual target category of each training case is stored with each hidden neuron; the weighted value coming out of a hidden neuron is fed only to the pattern neuron that corresponds to the hidden neuron’s category. The pattern neurons add the values for the class they represent.

===Output layer===