Parameter selection of support vector machines and genetic algorithm based on change area search

Neural Computing and Applications

Volumn 21, Issue 1, 2012, Pages 1-8

  Zhao, Mingyuan ^a,b   Ren, Jian ^b   Ji, Luping ^a   Fu, Chong ^a   Li, Jianping ^a   Zhou, Mingtian ^a  

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

^b AGRICULTURAL BANK OF CHINA   (China)

Author keywords

Area distribution model; Genetic algorithm; Model parameter; Parameter optimization; Support vector machines

Indexed keywords

CLASSIFICATION PERFORMANCE; DISTRIBUTION MODELS; GAUSSIAN KERNELS; GENERALIZATION PERFORMANCE; MODEL PARAMETER; MODEL PARAMETERS; OVERFITTING; PARAMETER ANALYSIS; PARAMETER OPTIMIZATION; PARAMETER SELECTION; PENALTY PARAMETERS; REFERENCE POINTS; SEARCH METHOD; SUPPORT VECTOR; TEST ACCURACY;

GAUSSIAN DISTRIBUTION; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; SUPPORT VECTOR MACHINES; VECTORS;

PARAMETER ESTIMATION;

EID: 84856012525     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0603-9     Document Type: Article

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