Presentation	2002/7/12 k-propagated Self-Organizing Maps Taqlow YANAGIDA, Takao MIURA, Isamu SHIOYA,
PDF Download Page	PDF download Page Link
Abstract(in Japanese)	(See Japanese page)
Abstract(in English)	In this investigation, we discuss Self Organizing Maps (SOM) based classifiers with propagation on SOM map. To enhance explanation capability, we introduce neighbor learning and define k-propagated SCM, called SOM(k). We show experimental results to see how SOM(k) is useful. The main idea is that we extend SCM by propagating classification as well as parameter learning of SCM.
Keyword(in Japanese)	(See Japanese page)
Keyword(in English)	Machine Learning / Artificial Neural Network (ANN) / SOM(k) / SCM / classifiers
Paper #	DE2002-72
Date of Issue

Conference Information
Committee	DE
Conference Date	2002/7/12(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	Data Engineering (DE)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	k-propagated Self-Organizing Maps
Sub Title (in English)
Keyword(1)	Machine Learning
Keyword(2)	Artificial Neural Network (ANN)
Keyword(3)	SOM(k)
Keyword(4)	SCM
Keyword(5)	classifiers
1st Author's Name	Taqlow YANAGIDA
1st Author's Affiliation	Dept.of Elect.& Elect. Engr., HOSEI University()
2nd Author's Name	Takao MIURA
2nd Author's Affiliation	Dept.of Elect.& Elect. Engr., HOSEI University
3rd Author's Name	Isamu SHIOYA
3rd Author's Affiliation	Dept.of Management and Informatics, SANNO University
Date	2002/7/12
Paper #	DE2002-72
Volume (vol)	vol.102
Number (no)	209
Page	pp.pp.-
#Pages	6
Date of Issue