A new data classification method based on chaotic particle swarm optimization and least square-support vector machine

Chemometrics and Intelligent Laboratory Systems

Volumn 147, Issue , 2015, Pages 147-156

  Liu, Fang ^a,b,c,d   Zhou, Zhiguang ^a  

^a ZHEJIANG UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b CHONGQING UNIVERSITY   (China)

^c GUANGXI UNIVERSITY FOR NATIONALITIES   (China)

^d SOOCHOW UNIVERSITY   (China)

Author keywords

Chaotic optimization algorithm; Classification accuracy; Data classification; Generalization ability; Least square support vector machine (LS SVM); Particle swarm optimization algorithm

Indexed keywords

ADAPTIVE PARTICLE SWARM OPTIMIZATION; ARTICLE; CHAOTIC OPTIMIZATION ALGORITHM; CHAOTIC PARTICLE SWARM OPTIMIZATION; CHAOTIC PARTICLE SWARM OPTIMIZATION ALGORITHM; CHEMOMETRICS; CLASSIFICATION; CONTROLLED STUDY; CORRELATION COEFFICIENT; CROSS VALIDATION METHOD; GENETIC ALGORITHM; KERNEL METHOD; LEAST SQUARE SUPPORT VECTOR MACHINE; MACHINE LEARNING; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL PHENOMENA; PARTICLE SWARM OPTIMIZATION ALGORITHM; PRIORITY JOURNAL; RANDOMNESS; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 84940770368     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2015.08.015     Document Type: Article

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