中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Differentiation of syndromes with SVM

文献类型:期刊论文

作者Sun, Zhanquan; Xi, Guangcheng; Yi, Jianqiang; Wang, J; Yi, Z; Zurada, JM; Lu, BL; Yin, H
刊名ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS
出版日期2006
卷号3973页码:786-791
英文摘要Differentiation of syndromes is the kernel theory of Traditional Chinese Medicine (TCM). How to diagnose syndromes correctly with scientific means according to symptoms is the first problem in TCM. Several modem approaches have been applied, but no satisfied results have been obtained because of the complexity of diagnosis procedure. Support Vector Machine (SVM) is a new classification technique and has drawn much attention on this topic in recent years. In this paper, we combine non-linear Principle Component Analysis (PCA) neural network with multi-class SVM to realize differentiation of syndromes. Non-linear PCA is used to preprocess clinical data to save computational cost and reduce noise. The multi-class SVM takes the non-linear principle components as its inputs and determines a corresponding syndrome. Analyzing of a TCM example shows its effectiveness.
WOS标题词Science & Technology ; Technology
类目[WOS]Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
研究领域[WOS]Computer Science
关键词[WOS]MULTIOBJECTIVE OPTIMIZATION ; RELIABILITY
收录类别ISTP ; SCI
语种英语
WOS记录号WOS:000239485300115
源URL[http://ir.ia.ac.cn/handle/173211/9327]  
专题自动化研究所_09年以前成果
作者单位Chinese Acad Sci, Inst Automat, Key Lab Complex Syst & Intelligence Sci, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Sun, Zhanquan,Xi, Guangcheng,Yi, Jianqiang,et al. Differentiation of syndromes with SVM[J]. ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS,2006,3973:786-791.
APA Sun, Zhanquan.,Xi, Guangcheng.,Yi, Jianqiang.,Wang, J.,Yi, Z.,...&Yin, H.(2006).Differentiation of syndromes with SVM.ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS,3973,786-791.
MLA Sun, Zhanquan,et al."Differentiation of syndromes with SVM".ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 3, PROCEEDINGS 3973(2006):786-791.

入库方式: OAI收割

来源:自动化研究所

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