Article ID Journal Published Year Pages File Type
535452 Pattern Recognition Letters 2006 10 Pages PDF
Abstract

Automatic fuzzy membership generation is important in pattern recognition. A new scheme is proposed to generate fuzzy membership functions with unsupervised learning using self-organizing feature map. Simulation results on different datasets support this new scheme.

Keywords
Related Topics
Physical Sciences and Engineering Computer Science Computer Vision and Pattern Recognition
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Generating fuzzy membership function with self-organizing feature map
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