Probabilistic neural network: Difference between revisions

Revision as of 04:07, 28 March 2013

Revision as of 15:44, 25 April 2013

Line 13:

===Pattern layer===

This layer contains one neuron for each case in the training data set. It stores the values of the predictor variables for the case along with the target value. aA hidden neuron computes the Euclidean distance of the test case from the neuron’s center point and then applies the [[Radial basis function|RBF]] kernel function using the sigma values.

===Summation layer===