SOM with False-Neighbor degree and its behaviors

— This study improves SOM with False-Neighbor degree between neurons (FN-SOM) which solves some problems of the original FN-SOM. The improved FN-SOM changes the neighborhood relationship more flexibly according to the situation and the shape of data. We investigate the behavior of FNSOM in detail. Learning performance is evaluated both visually and quantitatively using the three measurements. We confirm effectively of the improved FN-SOM with comparing with the conventional SOM, Growing Grid and the original FN-SOM.

• Type: Conference
• Year: 2008
• Where: ISCAS
• Authors: Haruna Matsushita, Yoshifumi Nishio
• Keywords: Hardware, ISCAS 2008, Neighborhood Relationship, Original Fn-som, Study Improves Som