Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes
نویسندگان
چکیده
منابع مشابه
Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes
In this paper, a new competition strategy for learning vector quantization is proposed. The simple competitive strategy used for learning vector quantization moves the winning prototype which is the closest to the newly given data pattern. We propose a new learning strategy based on k-nearest neighbor prototypes as the winning prototypes. The selection of several prototypes as the winning proto...
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ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2011
ISSN: 1598-2645
DOI: 10.5391/ijfis.2011.11.2.084