Presentation 2006-12-05
Variable Density Self-Organizing Map for Incremental Learning
Atsushi SHIMADA, Rin-ichiro TANIGUCHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) 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.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Self-Organizing Map / Incremental Learning / Weights Fixed Neuron / Weights Semi-fixed Neuron / Neuron Addition / Variable Density Self-Organizing Map
Paper # NC2006-87
Date of Issue

Conference Information
Committee NC
Conference Date 2006/11/28(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Variable Density Self-Organizing Map for Incremental Learning
Sub Title (in English)
Keyword(1) Self-Organizing Map
Keyword(2) Incremental Learning
Keyword(3) Weights Fixed Neuron
Keyword(4) Weights Semi-fixed Neuron
Keyword(5) Neuron Addition
Keyword(6) Variable Density Self-Organizing Map
1st Author's Name Atsushi SHIMADA
1st Author's Affiliation Department of Intelligent Systems, Kyushu University()
2nd Author's Name Rin-ichiro TANIGUCHI
2nd Author's Affiliation Department of Intelligent Systems, Kyushu University
Date 2006-12-05
Paper # NC2006-87
Volume (vol) vol.106
Number (no) 407
Page pp.pp.-
#Pages 6
Date of Issue