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Supervised Fuzzy ART: Training of a Neural Network for Pattern Classification via Combining Supervised and Unsupervised Learning

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Academic year: 2021

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Fig. 1.  System architecture of  Supervised  Fuzzy ART Input
Fig.  2.  Redangle corresponding to a weight  vedor  in  two-dimensional feature space
Fig. 4.  During leaming, the rectangle  J  expands  to  the  smallest  rectangle that includes  the  input vector  I
Fig.  5.  Nested rectangles  (a) One exception occurs within a rectangle.

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