A novel hybrid genetic algorithm and Simulated Annealing for feature selection and kernel optimization in support vector regression

Proceedings of the 2012 IEEE 13th International Conference on Information Reuse and Integration, IRI 2012

Volumn , Issue , 2012, Pages 401-406

  Wu, Jiansheng ^a   Lu, Zusong ^b   Jin, Long ^c  

^a WUHAN UNIVERSITY OF TECHNOLOGY   (China)

^b Liuzhou Teachers College ^*  (China)

^c Guangxi Meteorological Bureau   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ACCEPTANCE CRITERIA; CROSSOVER OPERATOR; EVOLUTION PROCESS; FLOOD MANAGEMENT; GUANGXI; HYBRID GENETIC ALGORITHMS; HYBRID OPTIMIZATION; INPUT FEATURES; KERNEL FUNCTION; KERNEL OPTIMIZATIONS; KERNEL PARAMETER; LOCAL OPTIMAL SOLUTION; OPTIMAL VALUES; PREDICTION-ERROR VALUES; RAINFALL FORECASTING; SUPPORT VECTOR REGRESSION (SVR);

FEATURE EXTRACTION; FLOOD CONTROL; FORECASTING; INFORMATION USE; OPTIMAL SYSTEMS; RAIN; SIMULATED ANNEALING;

GENETIC ALGORITHMS;

EID: 84868315951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2012.6303037     Document Type: Conference Paper

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