NN is one of the AI techniques that can be used for instance to predict groups membership.
It is necessary to previously train the NN with known data. With XYOM, this machine learning (ML) step is accessible in the “MACHINE LEARNING” section.
Provided a “weights” file has been produced after the ML step, the group membership attribution is accessible through the “IDENTIFICATION” section.
1/ “MACHINE LEARNING”
You must enter 3 arguments
I. The (fake) unknown file
II. The reference data file
III. The subdivision of the reference data
2/ “IDENTIFICATION” (cannot be performed without the previous ML step)
You must call 2 files
I. The unknown data file
II. The “Weights” file as produced by the ML step.
Copyright (c) 2015-2016 Ulf Biallas
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