Self-Organizing Map with False-Neighbor Degree between Neurons for Effective Self-Organization
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概要
- 論文の詳細を見る
In the real world, it is not always true that neighboring houses are physically adjacent or close to each other. in other words, “neighbors” are not always “true neighbors” In this study, we propose a new Self-Organizing Map (SOM) algorithm, SOM with False-Neighbor degree between neurons (called FN-SOM). The behavior of FN-SOM is investigated with learning for various input data. We confirm that FN-SOM can obtain a more effective map reflecting the distribution state of input data than the conventional SOM and Growing Grid.
- （社）電子情報通信学会の論文
- 2008-06-01
著者
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NISHIO Yoshifumi
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Yoshifumi
Faculty Of Engineering Tokushima University
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NISHIO Yoshifumi
the Faculty of Engineering, Tokushima University
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Nishio Yoshifumi
Electrical And Electronic Engineering The University Of Tokushima
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MATSUSHITA Haruna
Department of Electrical and Electronic Engineering, Tokushima University
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Nishio Yoshifumi
Department Of Dept. Of Electrical And Electronics Engineering Tokushima University
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Nishio Yoshifumi
The Faculty Of Science And Technology Keio University
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Matsushita Haruna
Department Of Electrical And Electronic Engineering Tokushima University
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