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Implementation of a General Fuzzy Min-Max Neural Network using numpy.

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GFMM

Implementation of a General Fuzzy Min-Max Neural Network, based off of the paper: "General Fuzzy Min-Max Neural Network for Clustering and Classification" by Gabrys and Bargiela.

Contrary to the implementation described in this and other papers, this particular implementation uses an approach leveraging vector and matrix operations provided by the python package numpy, rather than the traditional iterative approach.

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Implementation of a General Fuzzy Min-Max Neural Network using numpy.

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