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This paper attempted to assess the attitudes of students in
Advances in technology have created the potential for a new
Inclusion has become a priority on the global educational agenda,
In this paper we present a comparison between SOM (Self-Organization Map) neural network and Fuzzy K-nearest Neighbor algorithms and their application to handwriting Tifinagh character recognition. The Box approach proposed in [1] is used for features extraction. Experimentation is carried out on a limited database of nearly 200 samples. The results showed that Fuzzy K-Nearest Neighbor had a very good performance.
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