Application of least square support vector machine based on particle swarm optimization to chaotic time series prediction

Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009

Volumn 4, Issue , 2009, Pages 458-462

  Liu, Ping ^a   Yao, Jian ^b  

^a BEIHANG UNIVERSITY   (China)

^b 96630 Unit of the Chinese People's Liberation Army   (China)

Author keywords

Chaotic time series; LS SVM; Parameter; Prediction; PSO

Indexed keywords

CHAOTIC TIME SERIES; CHAOTIC TIME SERIES PREDICTION; GLOBAL OPTIMUM; LEAST SQUARE SUPPORT VECTOR MACHINES; MACKEY-GLASS TIME SERIES; PARAMETER PREDICTION; SIMULATION RESULT;

CHAOTIC SYSTEMS; FORECASTING; INTELLIGENT COMPUTING; INTELLIGENT SYSTEMS; SUPPORT VECTOR MACHINES; TIME SERIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77949506678     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2009.5357656     Document Type: Conference Paper

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