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＜departmental bulletin paper＞
Incremental Learning in Self-Organizing Map

Creator	Creator Name 島田, 敦士 Shimada, Atsushi シマダ, アツシ Affiliation Affiliation Name 九州大学大学院システム情報科学府知能システム学専攻 : 博士後期課程 Department Intelligent Systems, Graduate School of Information Science and Electrical Engineering, Kyushu University : Doctoral Program
Creator	Creator Name 谷口, 倫一郎 Taniguchi, Rin-ichiro タニグチ, リンイチロウ Creator Alternative Name Taniguchi, Rinichiro Affiliation Affiliation Name 九州大学大学院システム情報科学研究院知能システム学部門 Department of Intelligent Systems, Faculty of Information Science and Electrical Engineering, Kyushu University
Language	Japanese
Publisher	九州大学大学院システム情報科学研究院
Publisher	Faculty of Information Science and Electrical Engineering, Kyushu University
Date	2007-03-26
Source Title	Research reports on information science and electrical engineering of Kyushu University
Vol	12
Issue	1
First Page	49
Last Page	54
Publication Type	Version of Record
Access Rights	open access
JaLC DOI	https://doi.org/10.15017/1517818
Related DOI	https://portal.isee.kyushu-u.ac.jp/
Related URI	https://portal.isee.kyushu-u.ac.jp/
Relation	https://portal.isee.kyushu-u.ac.jp/
Abstract	We propose a new incremental learning method of Self-Organizing Map. There are three problems in the incremental learning of Self-Organizing Map; 1. neuron depletion, 2. forgetting previous training d...ata, 3. keeping topology. Weights fixed neurons and weights semi-fixed neurons are very effective for the second problem. However the other problems remain. Therefore, we improve the incremental learning method with weights fixed neurons and weights semi-fixed neurons. Our approach can increment neurons effectively in the incremental learning process.show more

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Details

PISSN	1342-3819
EISSN	2188-0891
NCID	AN10569524
Record ID	1517818
Peer-Reviewed	Refereed
Subject Terms	Self-organizing map
	自己組織化マップ
	Incremental learning
	追加学習
	Weights fixed neuron
	シナプス硬直条件が適用されたニューロン
	Weights semi-fixed neuron
	シナプス半硬直条件が適用されたニューロン
	Neuron addition
	ニューロンの追加
Created Date	2015.06.22
Modified Date	2020.10.26