دورية أكاديمية
Variable-Density Self-Organizing Map for Incremental Learning
العنوان: | Variable-Density Self-Organizing Map for Incremental Learning |
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المؤلفون: | Shimada, Atsushi, Taniguchi, Rin-Ichiro |
المصدر: | International Workshop on Self-Organizing Maps : Proceedings (2007); The 6th International Workshop on Self-Organizing Maps (WSOM 2007) ; International Workshop on Self-Organizing Maps : Proceedings; The 6th International Workshop on Self-Organizing Maps (WSOM 2007) |
بيانات النشر: | Technische Fakultät, Arbeitsgruppen der Informatik |
سنة النشر: | 2007 |
المجموعة: | Bielefeld University: BieColl - Bielefeld eCollections |
مصطلحات موضوعية: | Self-Organizing Map, Incremental Learning, DDC: 004 (Data processing, computer science, computer systems) |
الوصف: | We propose a new incremental learning method of Self-Organizing Map. Basically, there are three problems in the incremental learning of Self-Organizing Map: 1. depletion of neurons, 2. oblivion of training data previously given, 3. destruction of topological relationship among training samples. Weight-fixed neurons and weight-quasi-fixed neurons are very effective for the second problem. However the other problems still remain. Therefore, we improve the incremental learning method with weight-fixed neurons and weight-quasi-fixed neurons. We solve the problems by introducing a mechanism to increase the number of neurons effectively in the incremental learning process. |
نوع الوثيقة: | article in journal/newspaper |
وصف الملف: | application/pdf |
اللغة: | German |
العلاقة: | https://biecoll.ub.uni-bielefeld.de/index.php/wsom/article/view/308/401Test; https://biecoll.ub.uni-bielefeld.de/index.php/wsom/article/view/308Test |
DOI: | 10.2390/biecoll-wsom2007-123 |
الإتاحة: | https://doi.org/10.2390/biecoll-wsom2007-123Test https://biecoll.ub.uni-bielefeld.de/index.php/wsom/article/view/308Test |
رقم الانضمام: | edsbas.E23384B1 |
قاعدة البيانات: | BASE |
DOI: | 10.2390/biecoll-wsom2007-123 |
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