Presentation	1993/12/14 An Adaptive Type Comeptitive Network for Pattern seqmentation in associative Memory Sei Ba,
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Abstract(in English)	In associative memory,pattern segmentation is an essential and indispensable function for representing(storing and recalling)one- to-multiple associations,or,for complementing patterns from their partials common to different original patterns.This report presents an adaptive type competitive network having high performance for pattern segmentation,by introducing an adaptive type of excitatory connection in addition to the tearnable type of inhibitory one used in the HASP type competitive network.The results of computer simulation show that the new competitive network is superior in both separation ability and speed of pattern segmentation to the previous networks.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Associative memory / Pattern seqmentation / Adaptive / Competitive
Paper #	NC93-64
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Conference Information
Committee	NC
Conference Date	1993/12/14(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	An Adaptive Type Comeptitive Network for Pattern seqmentation in associative Memory
Sub Title (in English)
Keyword(1)	Associative memory
Keyword(2)	Pattern seqmentation
Keyword(3)	Adaptive
Keyword(4)	Competitive
1st Author's Name	Sei Ba
1st Author's Affiliation	Communications Research Laborotory,MPT()
Date	1993/12/14
Paper #	NC93-64
Volume (vol)	vol.93
Number (no)	376
Page	pp.pp.-
#Pages	8
Date of Issue