誤差逆伝播学習法による自己組織化ロバスト主成分分析

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Title ( jpn )
誤差逆伝播学習法による自己組織化ロバスト主成分分析
Title ( eng )
Self-Organized Robust Principal Component Analysis by Back-Propagation Learning
Creator
Higuchi Isao
Source Title
広島大学大学院工学研究科研究報告
Graduate School of Engineering, Hiroshima University
Volume 53
Issue 1
Start Page 1
End Page 4
Abstract
The purpose of this study is the suggestion of a self-organized back-propagation algorithm for robust principal component analysis. The self-organizing algorithm that discriminates the influence of data automatically is applied to learning of a sandglass type neural network.
Keywords
robust principal component analysis
neural networks
back-propagation
self-organizing rule
NDC
Technology. Engineering [ 500 ]
Language
jpn
Resource Type departmental bulletin paper
Publisher
広島大学大学院工学研究科
国立情報学研究所
Date of Issued 2004-12
Publish Type Version of Record
Access Rights open access
Source Identifier
[ISSN] 1347-7218
[NCID] AA11700032