Parameters selection and stimulation of support vector machines based on ant colony optimization algorithm

Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology)

Volumn 39, Issue 6, 2008, Pages 1309-1313

  Liu, Chun Bo ^a   Wang, Xian Fang ^a   Pan, Feng ^a  

^a JIANGNAN UNIVERSITY   (China)

Author keywords

Ant colony algorithm; Optimization; Parameters selection; Support vector regression

Indexed keywords

ALGORITHMS; FUNCTION EVALUATION; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES; VECTORS;

ANT COLONY ALGORITHM; ANT COLONY OPTIMIZATION ALGORITHMS; ANT SYSTEMS; ANT-COLONY OPTIMIZATIONS; CROSS VALIDATIONS; FITNESS FUNCTIONS; GENERALIZATION PERFORMANCE; GLOBAL SEARCH CAPABILITIES; KERNEL PARAMETERS; OPTIMAL SELECTIONS; OPTIMAL VALUES; PARAMETERS SELECTION; REGULARIZATION PARAMETERS; SIMULATION RESULTS; SUPPORT VECTOR REGRESSION; SUPPORT VECTORS;

OPTIMIZATION;

EID: 58949100483     PISSN: 16727207     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (18)

1. Vapnik V N. The nature of statistical learning heory[M]. New York: Springer-Verlag, 1995.
2. Vapnik V N. Statistical learning theory[M]. New York: Springer, 1998.
3. Vapnik V N. The nature of statistical learning[M]. 2nd ed. New York: Springer, 2000.
4. Smola A J, Scholkopf B. A tutorial on support vector regression[R]. NeuroCOLT2 Technical Report NC2-TR-1998-030. London: Royal Holloway College, 1998.
5. Sanchez A D. Advanced support vector machines and kernel methods[J]. Neurocomputing, 2003, 55(1): 5-20.
6. Du Shu-Xin, Wu Tie-Jun. Support vector machines for regression[J]. Journal of System Simulation, 2003, 15(11): 1580-1585, 1633.
7. Chappelle O, Vapnik V, Bousquet O, et al. Choosing multiple parameters for support vector machines[J]. Machine Learning, 2002, 46(1): 131-160.
8. Zheng Chun-Hong, Jiao Li-Cheng. Automatic parameters selection for SVM based on GA[C]//Proceedings of the the 5th World Congress on Intelligent Control and Automation. Piscataway. NJ: IEEE Press, 2004: 1869-1872.
9. Shao Xin-Guang, Yang Hui-Zhong, Chen Gang. Parameters selection and application of support vector machines based on particle swarm optimization algorithm[J]. Control Theory and Applications, 2006, 23(5): 740-743, 748.
10. Dorigo M, Stutzle T. Ant colony optimization[M]. Cambridge: MIT Press, 2004.
11. Dorigo M, Blum C. Ant colony optimization theory: A survey[J]. Theoretical Computer Science, 2005, 344(2/3): 243-278.
12. Dorigo M, Gambardella L M. Ant colony system:a cooperative learning approach to the traveling salesman problem[J]. IEEE Transaction on Evolutionary Computation, 1997, 1(1): 53-66.
13. Colorni A, Dorigo M, Maniezzo V, et al. Distributed optimization by ant colonies[C]//Proceedings of the 1st European Conference on Artifical Life. Paris: Elesvier Publishing, 1991: 134-142.
14. Dorigo M, Maniezzo V, Colorni A. Ant system: Optimization by a colony of cooperating agents[J]. IEEE Transaction on Systems, Man, and Cybernetics: Part B, 1996, 26(1): 29-41.
15. Tan Guan-Zheng, Li Wen-Bin. Design of ant algorithm based optimal PID controller and its application to intelligent artificial leg[J]. Journal of Central South University: Science and Technology, 2004, 35(1): 91-96.
16. Liu Chun-Bo, Pan Feng, Yang Dan. Resolution of CTSP based on improved ant colony algorithm[C]//Zhang Si-ying, Wang Fu-li. Proceedings of Chinese Control and Decision Conference. Shenyang: Northeastern University Press, 2007: 869-872.
17. Zhan Shi-Chang, Xu Jie, Wu Jun. The optimal selection on the parameters of the ant colony algorithm[J]. Bulletin of Science and Technology, 2003, 19(5): 381-386.
18. Yu Nai-Gong, Ruan Xiao-Gang. A cellular automata model for simulating penicillin fermentation process biomass growth[J]. Acta Biophysica Sinica, 2004, 20(2): 155-162.