!!! Overview
[{$pagename}] (or hidden layer) contains one [neuron] for each [classification] in the [training dataset]. 

!! [{$pagename}] [Probabilistic Neural Network]
[{$pagename}] stores the values of the predictor [variables] for the [classification] along with the target value. A [{$pagename}] computes the Euclidean distance of the test case from the [neuron]’s center point and then applies the radial basis function kernel function using the sigma values.

!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]