A variable selection method based on KPCA and FNN for nonlinear system modeling

BMEI 2011 - Proceedings 2011 International Conference on Business Management and Electronic Information

Volumn 1, Issue , 2011, Pages 832-835

  Yi, Jun ^a   Li, Taifu ^a   Yingying, Su ^a   Wenjin, Hu ^a   Ting, Gao ^a  

^a CHONGQING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

FNN; KPCA; Modeling; Nonlinear systems; Variabl eselection

Indexed keywords

FALSE NEAREST NEIGHBOR; FNN; HYDROGEN CYANIDE; KERNEL PRINCIPAL COMPONENT; KPCA; LINEARLY SEPARABLE; MULTICOLLINEARITY; NONLINEAR SYSTEM MODELING; NONLINEAR VARIABLES; NOVEL METHODS; PARAMETRIC MODELS; SECONDARY VARIABLES; VARIABL ESELECTION; VARIABLE SELECTION METHODS;

CYANIDES; NONLINEAR SYSTEMS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS;

INFORMATION MANAGEMENT;

EID: 80052159037     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICBMEI.2011.5917065     Document Type: Conference Paper

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