The Brain & Neural Networks
Online ISSN : 1883-0455
Print ISSN : 1340-766X
ISSN-L : 1340-766X
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Volume 14, Issue 2
Displaying 1-22 of 22 articles from this issue
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  • Variable Density Self-Organizing Map for Incremental Learning
    Atsushi Shimada, Rin-ichiro Taniguchi
    2007Volume 14Issue 2 Pages 71-78
    Published: June 05, 2007
    Released on J-STAGE: November 21, 2008
    DOIhttps://doi.org/10.3902/jnns.14.71
    JOURNAL FREE ACCESS
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    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 remains. 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.
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