Research on multi-degree-of-freedom neurons with weighted graphs

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	Research on multi-degree-of-freedom neurons with weighted graphs
	Wang SJ (Wang Shoujue); Liu SS (Liu Singsing); Cao WM (Cao Wenming); 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
	2006
Conference Name	3rd International Symposium on Neural Networks (ISSN 2006)
Source Publication	ADVANCES IN NEURAL NETWORKS - ISNN 2006丛书标题: LECTURE NOTES IN COMPUTER SCIENCE
Pages	PT 1 3971: 669-675 Part 1
Conference Date	MAY 28-31, 2006
Conference Place	Chengdu, PEOPLES R CHINA
Publication Place	HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
Publisher	SPRINGER-VERLAG BERLIN
ISSN	0302-9743
ISBN	3-540-34439-X
metadata_83	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
Abstract	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.
Keyword	Biomimetic Pattern-recognition
Subject Area	人工智能
Funding Organization	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.
Indexed By	其他
Language	英语
Document Type	会议论文
Identifier	http://ir.semi.ac.cn/handle/172111/10016
Collection	中国科学院半导体研究所（2009年前）
Corresponding Author	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
Recommended Citation GB/T 7714	Wang SJ ,Liu SS ,Cao WM ,et al. Research on multi-degree-of-freedom neurons with weighted graphs[C]. HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SPRINGER-VERLAG BERLIN,2006:PT 1 3971: 669-675 Part 1.

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