Presentation 2007-01-17
Fuzzy ART with Group Learning
Haruka ISAWA, Masato TOMITA, Haruna MATSUSHITA, Yoshifumi NISHIO,
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Abstract(in English) Adaptive Resonance Theory (ART) is an unsupervised neural network based on competitive learning which is capable of automatically finding categories and creating new ones. Fuzzy ART is a variation of ART, allows both binary and continuous input pattern. Fuzzy ART has limits of category space size by the vigilance parameter. Thus, input data are classified in each appropriate category. However, Fuzzy ART often makes input data of the common categories classify several categories. In this study, we propose an additional step, called "Group Learning", for Fuzzy ART in order to obtain more effective categorization. This algorithm is called Fuzzy ART with Group Learning (Fuzzy ART-GL). The important feature of group learning is that creating a connection between similar categories. We investigate the behavior of Fuzzy ART-GL with application to the recognition problems.
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Keyword(in English) Fuzzy ART / classification / unsupervised learning
Paper # NLP2006-116
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Conference Information
Committee NLP
Conference Date 2007/1/10(1days)
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Paper Information
Registration To Nonlinear Problems (NLP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Fuzzy ART with Group Learning
Sub Title (in English)
Keyword(1) Fuzzy ART
Keyword(2) classification
Keyword(3) unsupervised learning
1st Author's Name Haruka ISAWA
1st Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University()
2nd Author's Name Masato TOMITA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
3rd Author's Name Haruna MATSUSHITA
3rd Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
4th Author's Name Yoshifumi NISHIO
4th Author's Affiliation Department of Electrical and Electronic Engineering, Tokushima University
Date 2007-01-17
Paper # NLP2006-116
Volume (vol) vol.106
Number (no) 451
Page pp.pp.-
#Pages 4
Date of Issue