The forecasting model based on wavelet ν-support vector machine

Expert Systems with Applications

Volumn 36, Issue 4, 2009, Pages 7604-7610

  Wu, Qi ^a  

^a SOUTHEAST UNIVERSITY   (China)

Author keywords

Particle swarm optimization; Sales forecasting; Support vector machine (SVM); Wavelet kernel

Indexed keywords

CONSTRAINED OPTIMIZATION; FORECASTING; IMAGE RETRIEVAL; OPTIMIZATION; PROGRAMMING THEORY; SALES; SUPPORT VECTOR MACHINES; TIME SERIES; VECTORS;

FORECASTING MODELS; NON LINEARITIES; PARTICLE SWARM OPTIMIZATION; RANDOMICITY; SALES FORECASTING; SMALL SAMPLES; SUPPORT VECTOR MACHINE (SVM); SVM MODELS; WAVELET KERNEL; WAVELET SUPPORT VECTOR MACHINES; WAVELET THEORIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 60249083637     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.09.048     Document Type: Article

References (23)

1. Carbonneau R., Laframbois K., and Vahidov R. Application of machine learning techniques for supply chain demand forecasting. European Journal of Operational Research 184 3 (2008) 1140-1154
2. Chen R.C., and Hsieh C.H. Web page classification based on a support vector machine using a weighted vote schema. Expert Systems with Applications 31 2 (2006) 427-435
3. Feng S., and Xu L. An intelligent decision support system for fuzzy comprehensive evaluation of urban development. Expert Systems with Applications 16 1 (1999) 21-32
4. Huang S.C. Online option price forecasting by using unscented Kalman filters and support vector machines. Expert Systems with Applications 34 4 (2008) 2819-2825
5. Kenedy, J., & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of the IEEE international conference on neural networks (pp. 1942-1948).
6. In: Krantz S.G. (Ed). Wavelet: Mathematics and application (1994), CRC, Boca Raton, FL
7. Khandoker A.H., Lai D.T.H., Begg R.K., and Palaniswami M. Wavelet-based feature extraction for support vector machines for screening balance impairments in the elderly. IEEE Transactions on Neural Systems and Rehabilitation Engineering 15 4 (2007) 587-597
8. Krusienski, D. J. (2006). A modified particle swarm optimization algorithm for adaptive filtering. In IEEE international symposium on circuits and systems (pp. 137-140). Kos, Greece.
9. Kwok J.T. Moderating the outputs of support vector machine classifiers. IEEE Transactions on Neural Networks 10 5 (1999) 1018-1031
10. Lin S.W., Ying K.C., Chen S.C., and Lee Z.J. Particle swarm optimization for parameter determination and feature selection of support vector machines. Expert Systems with Applications 35 4 (2008) 1817-1824
11. Liu G.Z., and Di S.L. Wavelet analysis and application (1992), Xidian University Press, Xi'an, China
12. Seo K.K. An application of one-class support vector machines in content-based image retrieval. Expert Systems with Applications 33 2 (2007) 491-498
13. Trontl K., Smuc T., and Pevec D. Support vector regression model for the estimation of γ-ray buildup factors for multi-layer shields. Annals of Nuclear Energy 34 12 (2007) 939-952
14. Vapnik V. The nature of statistical learning (1995), Springer, New York
15. Widodo A., and Yang B.S. Wavelet support vector machine for induction machine fault diagnosis based on transient current signal. Expert Systems with Applications 35 1-2 (2008) 307-316
16. Wohlberg B., Tartakovsky D.M., and Guadagnini A. Subsurface characterization with support vector machines. IEEE Transactions on Geoscience and Remote Sensing 44 1 (2006) 47-57
17. Wu, Q., Yan, H. S., & Yang, H. B. (2008). A forecasting model based support vector machine and particle swarm optimization. In The workshop on Power Electronics and Intelligent Transportation System (pp. 218-222). .
18. Wu, Q., Yan, H. S., & Yang, H. B. (in press). A hybrid forecasting model based on chaotic mapping and improved support vector machine. In The 2008 International Workshop on Chaos-Fractals Theories and Applications.
19. Wu, Q., & Yan, H. S. (in press a). The product sales forecasting model based on robust wavelet v-support vector machine. Acta Automatica Sinica (in Chinese).
20. Wu, Q., & Yan, H. S. (in press b). A forecasting method based on support vector machine with Gaussian loss function. Computer Integrated Manufacturing Systems (in Chinese).
21. Wu, Q., & Yan, H. S. (in press c). Product sales forecasting model based on robust v-support vector machine. Computer Integrated Manufacturing Systems (in Chinese).
22. Yamaguchi, T. (2007). Adaptive particle swarm optimization -Self-coordinating mechanism with updating information. In IEEE international conference on systems, man and cybernetics (Vol. 3, pp. 2303-2308). Taipei, Taiwan.
23. Zhao, L., & Yang, Y. (in press). PSO-based single multiplicative neuron model for time series prediction. Expert Systems with Applications.