Hidden node (or hidden layer) contains one neuron for each classification in the training dataset.

Hidden node Probabilistic Neural Network#

Hidden node stores the values of the predictor variables for the classification along with the target value. A Hidden node 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.

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