Generating fuzzy membership function with self-organizing feature map
Journal
Pattern Recognition Letters
Journal Volume
27
Journal Issue
5
Pages
356-365
Date Issued
2006
Author(s)
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. © 2005 Elsevier B.V. All rights reserved.
SDGs
Type
journal article