The Heuristic Algorithms for selecting the parameters of support vector machine for classification

Chinese Journal of Electronics

Volumn 21, Issue 3, 2012, Pages 485-488

  Lang, Rongling ^a   Deng, Xiaole ^a   Gao, Fei ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Classification; Parameters selection; Support vector machine (SVM)

Indexed keywords

HEURISTIC ALGORITHMS; HEURISTIC METHODS; OPTIMIZATION; PARAMETER ESTIMATION;

GAUSSIAN KERNEL FUNCTIONS; GAUSSIAN KERNEL SUPPORT VECTOR MACHINES; HEURISTICS ALGORITHM; PARAMETER C; PARAMETER SELECTION; PENALTY PARAMETERS; PERFORMANCE; SCALE PARAMETER; SUPPORT VECTOR MACHINE; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

EID: 84864404834     PISSN: 10224653     EISSN: 20755597     Source Type: Journal    
DOI: None     Document Type: Article

References (10)

1. A.B. Jimenez, J.L. Laaro, J.R. Dorronsoro, "Finding optimal model parameters by deterministic and annealed focused grid search", Neurocomputing, Vol.72, No. 13, pp.2824-2832, 2009.
2. S.W. Lin, Z.J. Lee, S.C. Chen and T.Y. Tseng, "Parameter determination of support vector machine and feature selection using simulated annealing approach", Applied Soft Computing, Vol.8, No.4, pp.1505-1512, 2008.
3. C.L. Huang, J.F. Dun, "A distributed PSO-SVM hybrid system with feature selection and parameter optimization", Applied Soft Computing, Vol.8, No.4, pp.1381-1391, 2008.
4. X. Li, S.D. Yang, J.X. Qi, "A new support vector machine optimized by improved particle swarm optimization and its application", Journal of Central South University of Technology, Vol.13, No.5, pp.568-572, 2006. (Pubitemid 46090395)
5. C.H. Wu, G.H. Tzeng, R.H. Lin, "A Novel hybrid genetic algorithm for kernel function and parameter optimization in support vector regression", Expert Systems with Applications, Vol.36, No.3, pp.4725-4735, 2009.
6. X.L. Zhang, X.F. Chen, Z.J. He, "An ACO-based algorithm for parameter optimization of support vector machines", Expert Systems with Applications, Vol.37, No.9, pp.6618-6628, 2010.
7. N.Y. Deng, Y.J. Tian, A New Method of Data Mining: Support Vector Machine, Science Press, Beijing, China, 2004.
8. W.J. Wang, Z.B. Xu, W.Z. Lu, X.Y. Zhang, "Determination of the spread parameter in the Gaussian kernel for classification and regression", Neurocomputing, Vol.55, No.3, pp.643-663, 2003.
9. Z. Ben, M.W. Dai, D.Y. Meng, "Fast and efficient strategies for model selection of Gaussian Support vector Machine", IEEE Transaction on System, Man, and Cybernetics, Part B: Cyber-n etics, Vol.39, No.5, pp. 1292-1307, 2009.
10. http://archive.ics.uci.edu/ml/.