Incremental learning in self-organizing map

研究成果: ジャーナルへの寄稿記事

抄録

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 data, 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.

元の言語英語
ページ(範囲)49-54
ページ数6
ジャーナルResearch Reports on Information Science and Electrical Engineering of Kyushu University
12
発行部数1
出版物ステータス出版済み - 3 2007

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Self organizing maps
Neurons
Topology

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Hardware and Architecture
  • Engineering (miscellaneous)

これを引用

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