Presentation 2003/2/27
Generalization of a Higher-Order Neural Network based upon Dynamic Coalescence Model as knowledge
Takeshi KAITA, Hideo KITAJIMA, Miki HASEYAMA, Shingo TOMITA, Junkichi YAMANAKA,
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Abstract(in English) We have theoretically investigated a clustering method Dynamic Coalescence Model from the viewpoint of filtering [1],[3], and have presented several new higher-order neural networks as learning and discriminating systems for distributions recognition and hand-written characters recognition with knowledge inherited from DCM. [2],[3] In this paper, we present new HONNs without any condition upon linear discrimination including a new technique to improve recognition rate even for applying a little amount of training patterns.
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Keyword(in English) Dynamic Coalescence Model(DCM) / Higher-Order Neural Network(HONN) / clustering / distributions recognition / hand-written characters recognition
Paper # NLC2002-85
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Committee NLC
Conference Date 2003/2/27(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Generalization of a Higher-Order Neural Network based upon Dynamic Coalescence Model as knowledge
Sub Title (in English)
Keyword(1) Dynamic Coalescence Model(DCM)
Keyword(2) Higher-Order Neural Network(HONN)
Keyword(3) clustering
Keyword(4) distributions recognition
Keyword(5) hand-written characters recognition
1st Author's Name Takeshi KAITA
1st Author's Affiliation Information Science and Technology Dpt., Oshima National College of Maritime Technology:School of Engineering, Hokkaido University()
2nd Author's Name Hideo KITAJIMA
2nd Author's Affiliation School of Engineering, Hokkaido University
3rd Author's Name Miki HASEYAMA
3rd Author's Affiliation School of Engineering, Hokkaido University
4th Author's Name Shingo TOMITA
4th Author's Affiliation Faculty of Music Mediaarts Department of Humanitic Information, Shobi University
5th Author's Name Junkichi YAMANAKA
5th Author's Affiliation Information Science and Technology Dpt., Oshima National College of Maritime Technology
Date 2003/2/27
Paper # NLC2002-85
Volume (vol) vol.102
Number (no) 689
Page pp.pp.-
#Pages 4
Date of Issue