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:会议论文

作者Wang SJ (Wang Shoujue) ; Liu SS (Liu Singsing) ; Cao WM (Cao Wenming)
出版日期2006
会议名称3rd international symposium on neural networks (issn 2006)
会议日期may 28-31, 2006
会议地点chengdu, peoples r china
关键词BIOMIMETIC PATTERN-RECOGNITION
页码pt 1 3971: 669-675 part 1
通讯作者wang, sj, chinese acad sci, inst semicond, artificial neural networks lab, pob 912, beijing 100083, peoples r china. 电子邮箱地址: 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.
英文摘要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.; zhangdi于2010-03-29批量导入; zhangdi于2010-03-29批量导入; univ electr sci & technol china.; chinese univ hong kong.; asia pacific neural network assembly.; european neural network soc.; ieee circuits & syst soc.; ieee computat intelligence soc.; int neural network soc.; natl nat sci fdn china.; kc wong educ fdn hong kong.; chinese acad sci, inst semicond, artificial neural networks lab, beijing 100083, peoples r china; zhejiang univ technol, informat engn coll, inst intelligent informat syst, hangzhou 310032, peoples r china
收录类别其他
会议主办者univ electr sci & technol china.; chinese univ hong kong.; asia pacific neural network assembly.; european neural network soc.; ieee circuits & syst soc.; ieee computat intelligence soc.; int neural network soc.; natl nat sci fdn china.; kc wong educ fdn hong kong.
会议录advances in neural networks - isnn 2006丛书标题: lecture notes in computer science
会议录出版者springer-verlag berlin ; heidelberger platz 3, d-14197 berlin, germany
学科主题人工智能
会议录出版地heidelberger platz 3, d-14197 berlin, germany
语种英语
ISSN号0302-9743
ISBN号3-540-34439-x
源URL[http://ir.semi.ac.cn/handle/172111/10016]  
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[C]. 见:3rd international symposium on neural networks (issn 2006). chengdu, peoples r china. may 28-31, 2006.

入库方式: OAI收割

来源:半导体研究所

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