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In the classification phase, the weights of the network are fixed.
A pattern, presented at the inputs, will be transformed from layer to layer until it reaches the output layer. Now classification can occur by selecting the category associated with the output unit that has the largest output value. For classification we only need to select an FFNet and a PatternList together and choose To Categories....
In contrast to the learning phase classification is very fast.
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