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Summation layer
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!!! Overview
[{$pagename}]
!! [{$pagename}] [Probabilistic Neural Network]
[{$pagename}] [Probabilistic Neural Network] is there is one pattern [neuron] for each [classification] of the target variable.
The actual target [classification] of each training case is stored with each [hidden node]; the weighted value coming out of a [hidden node] is fed only to the [{$pagename}] that corresponds to the [hidden nodes]’s [classification]. The [{$pagename}] add the values for the [classification] they represent.
!! More Information
There might be more information for this subject on one of the following:
[{ReferringPagesPlugin before='*' after='\n' }]
This page (revision-1) was last changed on 29-Nov-2024 16:16 by UnknownAuthorTop