中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Research on multi-degree-of-freedom neurons with weighted graphs

文献类型:期刊论文

作者Wang SJ (Wang Shoujue) ; Liu SS (Liu Singsing) ; Cao WM (Cao Wenming)
刊名advances in neural networks - isnn 2006
出版日期2006
卷号pt 1 3971期号:0页码:669-675
关键词BIOMIMETIC PATTERN-RECOGNITION
ISSN号0302-9743
通讯作者wang, sj, chinese acad sci, inst semicond, artificial neural networks lab, pob 912, beijing 100083, peoples r china. e-mail: sstar2002@sina.com
中文摘要in this paper, we redefine the sample points set in the feature space from the point of view of weighted graph and propose a new covering model - multi-degree-of-freedorn neurons (mdfn). base on this model, we describe a geometric learning algorithm with 3-degree-of-freedom neurons. it identifies the sample points secs topological character in the feature space, which is different from the traditional "separation" method. experiment results demonstrates the general superiority of this algorithm over the traditional pca+nn algorithm in terms of efficiency and accuracy.
学科主题半导体物理
收录类别SCI
语种英语
公开日期2010-04-11
源URL[http://ir.semi.ac.cn/handle/172111/10562]  
专题半导体研究所_中国科学院半导体研究所(2009年前)
推荐引用方式
GB/T 7714
Wang SJ ,Liu SS ,Cao WM . Research on multi-degree-of-freedom neurons with weighted graphs[J]. advances in neural networks - isnn 2006,2006,pt 1 3971(0):669-675.
APA Wang SJ ,Liu SS ,&Cao WM .(2006).Research on multi-degree-of-freedom neurons with weighted graphs.advances in neural networks - isnn 2006,pt 1 3971(0),669-675.
MLA Wang SJ ,et al."Research on multi-degree-of-freedom neurons with weighted graphs".advances in neural networks - isnn 2006 pt 1 3971.0(2006):669-675.

入库方式: OAI收割

来源:半导体研究所

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