Feature selection and parameter optimization for SVM based on genetic algorithm with feature chromosomes

Kongzhi yu Juece/Control and Decision

Volumn 25, Issue 8, 2010, Pages 1133-1138

  Zhao, Ming Yuan ^a,b   Tang, Yong ^a   Fu, Chong ^a   Zhou, Ming Tian ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b AGRICULTURAL BANK OF CHINA   (China)

Author keywords

Feature chromosomes; Feature selection; Genetic algorithm; Parameters optimization; Support vector machines

Indexed keywords

ASYMPTOTIC BEHAVIORS; CLASSIFICATION ACCURACY; FEATURE CHROMOSOMES; FEATURE SELECTION; FEATURE SUBSET; GENERALIZATION ERROR; GRID SEARCH; NEW APPROACHES; PARAMETER OPTIMIZATION; PARAMETERS OPTIMIZATION; PROCESSING TIME; STRAIGHT LINES; SUPPORT VECTOR;

ASYMPTOTIC ANALYSIS; CHROMOSOMES; GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; SUPPORT VECTOR MACHINES; VECTOR SPACES; VECTORS;

FEATURE EXTRACTION;

EID: 77956978750     PISSN: 10010920     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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