中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization

文献类型:期刊论文

作者Chen N(陈宁)
刊名DATA MINING AND KNOWLEDGE MANAGEMENT
出版日期2004
卷号3327页码:41-50
通讯作者邮箱ningchen74@yahoo.com
关键词fuzzy classification self-organizing map (SOM) learning vector quantization (LVQ)
ISSN号0302-9743
产权排序Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal; Chinese Acad Sci, Inst Mech, Beijing 100864, Peoples R China
通讯作者Chen, N (reprint author), Univ Nova Lisboa, Fac Ciencias & Tecnol, P-1200 Lisbon, Portugal.
中文摘要Fuzzy classification proposes an approach to solve uncertainty problem in classification tasks. It assigns an instance to more than one class with different degrees instead of a definite class by crisp classification. This paper studies the usage of fuzzy strategy in classification. Two fuzzy algorithms for sequential self-organizing map and learning vector quantization are proposed based on fuzzy projection and learning rules. The derived classifiers are able to provide fuzzy classes when classifying new data. Experiments show the effectiveness of proposed algorithms in terms of classification accuracy.
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Information Systems
研究领域[WOS]Computer Science
收录类别SCI
语种英语
WOS记录号WOS:000227493600005
源URL[http://dspace.imech.ac.cn/handle/311007/58463]  
专题力学研究所_力学所知识产出(1956-2008)
推荐引用方式
GB/T 7714
Chen N. Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization[J]. DATA MINING AND KNOWLEDGE MANAGEMENT,2004,3327:41-50.
APA 陈宁.(2004).Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization.DATA MINING AND KNOWLEDGE MANAGEMENT,3327,41-50.
MLA 陈宁."Fuzzy Classification Using Self-Organizing Map and Learning Vector Quantization".DATA MINING AND KNOWLEDGE MANAGEMENT 3327(2004):41-50.

入库方式: OAI收割

来源:力学研究所

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