Feature selection method based on the adaptive genetic algorithm-kernel partial least squares for high dimensional data

Advanced Materials Research

Volumn 468-471, Issue , 2012, Pages 1762-1766

  Yan, Dong ^a   Liu, Shaowei ^a   Tang, Jian ^b  

^a PLA   (China)

^b NORTHEASTERN UNIVERSITY   (China)

Author keywords

Adaptive genetic algorithm; Feature selection; High dimensional data; Kernel partial least squares; Nonlinear model

Indexed keywords

ADAPTIVE GENETIC ALGORITHMS; FEATURE SELECTION METHODS; HIGH DIMENSIONAL DATA; KERNEL PARAMETER; KERNEL PARTIAL LEAST SQUARES; MODELING APPROACH; MODELING TECHNOLOGY; NEAR INFRARED SPECTRA; NON-LINEAR MODEL; PARTIAL LEAST SQUARE (PLS); PREDICTION PERFORMANCE; VIBRATION FREQUENCY SPECTRUM;

GENETIC ALGORITHMS; NONLINEAR SYSTEMS;

FEATURE EXTRACTION;

EID: 84859224335     PISSN: 10226680     EISSN: None     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/AMR.468-471.1762     Document Type: Conference Paper

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