Runway incursion event forecast model based on LS-SVR with multi-kernel

Journal of Computers

Volumn 6, Issue 7, 2011, Pages 1346-1352

  Xu, Guimei ^a   Huang, Shengguo ^a  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

Author keywords

Airport runways; Forecast model; Least square support vector machine; Multi kernel

Indexed keywords

AVIATION SAFETY; EARLY WARNING; FORECAST MODEL; GENERALIZATION ABILITY; GENERALIZED REGRESSION NEURAL NETWORKS; HIGH DIMENSIONS; KERNEL FUNCTION; KERNEL MODELS; LEARNING MACHINES; LEAST SQUARE SUPPORT VECTOR MACHINES; LEAST SQUARE SUPPORT VECTOR REGRESSIONS; MULTI-KERNEL; NON-LINEARITY; RUNWAY INCURSION; SMALL SAMPLES; TRAINING DATA;

NEURAL NETWORKS; SUPPORT VECTOR MACHINES;

FORECASTING;

EID: 79960734517     PISSN: 1796203X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jcp.6.7.1346-1352     Document Type: Article

References (14)

1. Transport Canada, "National Civil Aviation Safety Committee Sub-Committee on Runway Incursions, " Final Report, pp.7-12, Sep.2000.
2. FAA, "FAA Runway Safety Report, " Jue.2003.
3. J. W. Taylr, R. Buizza, "Neural network load forecasting with weather ensemble predictions, " IEEE Transactions on Power Systems, Vol.17, No.3, pp.626-632, 2002.
4. E. Jorjani, S. C. Chelgani, S. Mesroghli, "Application of artificial neural network to predict chemical desulfurization of Tabas coal. " Fuel, Vol.87, No.12, pp.2727-2734, 2008.
5. V. N. Vapnik, "Estimation of Dependencies Based on Empirical Data, " Berlin: Springer-Verlag, 1982.
6. V. N. Vapnik, "The Nature of Statistical Learning Theory, " New York: Springer-Verlag, 1995.
7. J. T. Suykens, G. I. Van, "Least squares support vector machines, " Singapore: Singapore World Scientific, pp.13-15, 2002.
8. C. H. Wu, T. Zeng, H. Wang, et al, "A real-valued genetic algorithm to optimize the parameters of support vector machine for predicting bankruptcy, " Expert Systems with Applications, Vol.32, No.2, pp.397-408, 2007.
9. P. F. Pai, "System reliability forecasting by support vector machines with genetic algorithm, " Mathematical and Computer Modeling, Vol.4, No.3, pp.262-274, 2006.
10. K. Y. Chen, C. H. Wang, "Support vector regression with genetic algorithms in forecasting tourism demand, " Tourism Management, Vol.28, pp.215-226, 2007.
11. B. Liu, H. Su, W. Huang, et al, "Temperature prediction control based on least squares support vector machines, " Journal of Control Theory and Application, Vol.4, pp.365-370, 2004.
12. F. E. H. Tay, L. Cao, "Application of support vector machines in financial time series forecasting, " Omega, Vol.29, No.4, pp.309-317, 2001.
13. Z. J. Bao, D. Y. Pi, Y. X. Sun, "Nonlinear Model Predictive Control Based on Support Vector Machine with Multi-kernel, " Systems Engineering and Electronics, Vol.15, No.5, pp.691-697, 2007.
14. N. Zhang, Q. M. Liao, R. Su, et al, "Multi-kernel SVM Based Classification for Tumor Segmentation by Fusion of MRI Images, " International Workshop on Imaging Systems and Techniques, pp.278-282, May.2009.