Neuronal network

Neuronal network (NN), Machine Learning (ML), Artificial intelligence (AI)

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.

In sum:

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.

 

See here ->  the detailed MLP configuration by XYOM

 

LICENCE

The Machine learning procedures of XYOM makes use of javascript libraries under MIT licence.

Copyright (c) 2015-2016 Ulf Biallas

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the “Software”), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED “AS IS”, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.