PSO-based hyper-parameters selection for LS-SVM classifiers

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4233 LNCS - II, Issue , 2006, Pages 1138-1147

  Guo, X C ^a,b   Liang, Y C ^a   Wu, C G ^a,c   Wang, C Y ^a  

^a JILIN UNIVERSITY   (China)

^b NORTHEAST ELECTRIC POWER UNIVERSITY   (China)

^c BEIJING JIAOTONG UNIVERSITY   (China)

Author keywords

Classification; Fitness function; Least squares support vector machines; Parameter selection; Particle swarm optimization

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA STRUCTURES; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION; PARAMETER ESTIMATION;

FITNESS FUNCTION; KERNEL PARAMETERS; PARTICLE SWARM OPTIMIZATION (PSO); SUPPORT VECTOR MACHINES (SVM);

PROBLEM SOLVING;

EID: 33750704262     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11893257_124     Document Type: Conference Paper

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