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Spherical SOM and Arrangement of Neurons Using Helix on Sphere
https://ipsj.ixsq.nii.ac.jp/records/17170
https://ipsj.ixsq.nii.ac.jp/records/17170ea32bb2e-04f5-48fe-95c2-9740e5d17afe
名前 / ファイル | ライセンス | アクション |
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Copyright (c) 2006 by the Information Processing Society of Japan
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オープンアクセス |
Item type | Trans(1) | |||||||
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公開日 | 2006-02-15 | |||||||
タイトル | ||||||||
タイトル | Spherical SOM and Arrangement of Neurons Using Helix on Sphere | |||||||
タイトル | ||||||||
言語 | en | |||||||
タイトル | Spherical SOM and Arrangement of Neurons Using Helix on Sphere | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
主題 | 自己組織化マップ | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
資源タイプ | journal article | |||||||
著者所属 | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属 | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属 | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属 | ||||||||
Nara Institu | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者所属(英) | ||||||||
en | ||||||||
Nara Institute of Science and Technology Graduate School of Information Science | ||||||||
著者名 |
Hirokazu, Nishio
× Hirokazu, Nishio
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著者名(英) |
Hirokazu, Nishio
× Hirokazu, Nishio
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論文抄録 | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Self-organizing maps (SOM) are a kind of neural network and are applied to many fields. In many applications there are borders surrounding the neuron arrangement. It causes a problem which is called ‘Border effect’ because the number of neighborhood neurons of a neuron near a border is different from that of a neuron near the center. This problem can be solved by arranging neurons uniformly on the surface of a sphere. But by the conventional method we cannot arrange neurons of arbitrary number. Therefore it is inconvenient to use. Here we developed a method to arrange the neurons of arbitrary number by dividing a helix which covers the surface of a sphere into equal parts. It also can arrange neurons on a sphere more uniformly than the conventional method. | |||||||
論文抄録(英) | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | Self-organizing maps (SOM) are a kind of neural network, and are applied to many fields. In many applications, there are borders surrounding the neuron arrangement. It causes a problem which is called ‘Border effect’ because the number of neighborhood neurons of a neuron near a border is different from that of a neuron near the center. This problem can be solved by arranging neurons uniformly on the surface of a sphere. But by the conventional method we cannot arrange neurons of arbitrary number. Therefore, it is inconvenient to use. Here we developed a method to arrange the neurons of arbitrary number by dividing a helix which covers the surface of a sphere into equal parts. It also can arrange neurons on a sphere more uniformly than the conventional method. | |||||||
書誌レコードID | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA11464803 | |||||||
書誌情報 |
情報処理学会論文誌数理モデル化と応用(TOM) 巻 47, 号 SIG1(TOM14), p. 56-60, 発行日 2006-02-15 |
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ISSN | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 1882-7780 | |||||||
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言語 | ja | |||||||
出版者 | 情報処理学会 |