Presentation 2008-03-28
A Note on Expansion and Contraction of Categories in Fuzzy ARTMAP
Takeshi Kamio, Kunihiko Mitsubori, Chang-Jun Ahn, Hisato Fujisaka, Kazuhisa Haeiwa,
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Abstract(in English) Fuzzy ARTMAP (FAM) is a supervised learning system. FAM segments the input space with categories which are defined by hyper rectangles. The original learning method called FCSR makes categories grow only in the direction of expansion and allows the overlap between categories. Although fast expansion of categories inhibits the generation of categories, it accelerates the overlap between categories. The overlap complicates the input space segmentation and keeps generating categories during the learning. In contrast, slow expansion of categories decreases the overlap. However, categories increase rapidly at the early stage of learning. In this report, we have shown that the overlap is almost lost by introducing the contraction of categories and also categories can be expanded quickly.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Adaptive Resonance Theory / Fuzzy ARTMAP / Supervised Learning / Expansion and Contraction of Categories
Paper # NLP2007-171
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Conference Information
Committee NLP
Conference Date 2008/3/21(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) A Note on Expansion and Contraction of Categories in Fuzzy ARTMAP
Sub Title (in English)
Keyword(1) Adaptive Resonance Theory
Keyword(2) Fuzzy ARTMAP
Keyword(3) Supervised Learning
Keyword(4) Expansion and Contraction of Categories
1st Author's Name Takeshi Kamio
1st Author's Affiliation Dept. of Systems Engineering, Hiroshima City University()
2nd Author's Name Kunihiko Mitsubori
2nd Author's Affiliation Dept. of Electronics and Computer Systems, Takushoku University
3rd Author's Name Chang-Jun Ahn
3rd Author's Affiliation Dept. of Systems Engineering, Hiroshima City University
4th Author's Name Hisato Fujisaka
4th Author's Affiliation Dept. of Systems Engineering, Hiroshima City University
5th Author's Name Kazuhisa Haeiwa
5th Author's Affiliation Dept. of Systems Engineering, Hiroshima City University
Date 2008-03-28
Paper # NLP2007-171
Volume (vol) vol.107
Number (no) 561
Page pp.pp.-
#Pages 6
Date of Issue