Probabilistic neural network: Difference between revisions

Revision as of 15:12, 7 August 2016

Revision as of 22:26, 29 August 2016

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===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. A hidden neuron computes the Euclidean distance of the test case from the neuron’s center point and then applies the [[Radialradial basis function|RBF]] kernel function using the sigma values.

===Summation layer===