Prediction of urban passenger transport based-on wavelet SVM with quantum-inspired evolutionary algorithm

Proceedings of the International Joint Conference on Neural Networks

Volumn , Issue , 2008, Pages 1509-1514

  Zhang, Wenfeng ^a   Shi, Zhongke ^a   Luo, Zhiyong ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b CHONGQING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; EVOLUTIONARY ALGORITHMS; FORECASTING; MATHEMATICAL MODELS; NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

CROSSVALIDATION METHODS; EVOLUTIONARY OPTIMIZATIONS; GAUSSIAN KERNELS; GLOBAL SEARCHES; KERNEL PARAMETERS; LEAST SQUARES WAVELET SUPPORT VECTOR MACHINES; LS-WSVM; PASSENGER TRANSPORTS; PREDICTION MODELS; QUANTUM CHROMOSOMES; QUANTUM-INSPIRED EVOLUTIONARY ALGORITHMS; SIMULATION RESULTS; TUNING PARAMETERS; URBAN TRANSPORTS;

QUANTUM CHEMISTRY;

EID: 56349171348     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2008.4633996     Document Type: Conference Paper

References (20)

1. S. C. Wang, S. B. Bai, H. Zhang, "Prediction Methods of Highway Passenger Volume," Journal of Chang 'an University (Natural Science Edition), vol. 25, pp. 83-85, May. 2005.
2. X. W. Li, J. Zhang, "Intelligent Economic Forecast Method Based On. Genetic Algorithm," Communication and Transportation Systems Engineering and Information, vol. 4, pp. 18-22, Jan. 2004.
3. C. Y. Li, Y. F. Li, D. Liang, "Forecast of Passenger Transport Based on Artificial Neural Network," Communications Standardization, vol. 45, PP. 131-133, Aug. 2005.
4. V.N. Vapnik, The Nature of Statistical Learning Theory (the second edition), New York: Springer-Verlag, 1998.
5. T. Poggio, R. Rifkin, S. Mukherjee, etc, "General. Conditions for Predictivity in Learning Theory," Nature, vol. 428, pp. 419-422, Mar. 2004.
6. M. Carozza, S. Rampone, "Towards an incremental SVM for regression," Proc. International Joint Conference on Neural Networks, Como, Italy, Jul. 2000, pp. 405-110.
7. C. J. C. Burges, "Geometry and invariance in kernel based methods," in Advance in Kernel Methods-Support Vector Learning, Cambridge, MA: MIT Press, 1999.
8. Q. Zhang, "Using wavelet network in nonparametric estimation," IEEE Transaction on Neural Networks, vol. 8, pp. 227-236, Mar./Apr. 1997.
9. A. Rakotomamonjy, X. Mary and S. Canu., "Wavelet kernel and RKHS," Proc. of Statistical Learning: Theory and Applications, Paris, 2002, pp. 85-88.
10. L. Zhang, W. D. Zhou, L. C. Jiao, "Wavelet Support Vector Machine," IEEE Transaction on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 34, pp. 34-39, Jan./Feb. 2004.
11. J.A.K. Suykens, J. Vandewalle, "Least Squares Support Vector Machine Classifiers," Neural Processing Letters, vol. 9, pp. 293-300, May/Jun. 1999.
12. J. A. K. Suykens, T. Van Gestel, J. De Brabanter, etc, Least squares support vector machines, Singapore: World Scientific press, 2002.
13. J. Mercer, "Functions of positive and negative type and their connection with the theory of integral equation," Transactions of the London Philosophical Society, vol. A-209, pp. 415-446, 1909.
14. A. Smola, B. Scholkopf and K.R. M Iler, "The Connection between regularization operators and support vector kernels," Neural Networks, vol. 11, pp. 637-649, Jul./Aug. 1998.
15. O. Chapelle, V. Vapnik, O. Bousquet, etc, "Choosing multiple parameters for support vector machines," Machine Learning, vol. 46, pp. 131-159, Jan. 2002.
16. O. Chapelle, V. Vapnik, "Model selection for support, vector machines," in Handbook of Advances in Neural information Processing Systems, Cambridge: Mass MIT Press, 2000.
17. J. T. Kowk, "The evidence framework, applied to support vector machines," IEEE Transaction on Neural Network, vol. 11, pp. 1162-1173, Sep./Oct. 2000.
18. S. Y. Yang, F. Liu, L. C. Jiao, "The Quantum Evolutionary Strategies," ACTA ELECTRONICA SINICA, vol. 29, pp. 1873-1877, Dec. 2001.
19. K. H. Han, J. H Kim, "Quantum-Inspired Evolutionary Algorithm for a Class of Combinatorial Optimization," IEEE Transactions on Evolutionary Computation, vol. 6, pp. 580-593, Nov./Dec. 2002.
20. X. J. Wu, H. F. Xue, "A New Programming of Mixed Genetic Algorithm with Particle Swarm Optimization," Journal of Northwest University (Natural Science Edtion), vol. 25, pp. 40-43, Feb. 2005.