Probabilistic neural network: Difference between revisions

Revision as of 01:57, 28 March 2014

Revision as of 15:04, 7 April 2014

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=== Input layer ===

Each neuron in the input layer represents a predictor variable. In categorical variables, ''N-1'' neurons are used when there are ''N'' number of categories. It standardizes the range of the values by subtracting the median and dividing by the [[interquartile range]]. Then the input neurons feed the values to each of the neurons in the hidden layer.

===Pattern layer===