Classification of stellar spectral data based on Kalman filter and RBF neural networks

Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

Volumn 1, Issue , 2003, Pages 274-279

  Bai, Ling ^a   Li, ZhenBo ^a   Guo, Ping ^a  

^a BEIJING NORMAL UNIVERSITY   (China)

Author keywords

Kalman filter; Principal component analysis; RBF neural networks; Stellar spectral data

Indexed keywords

ASTRONOMY; FEATURE EXTRACTION; KALMAN FILTERING; PRINCIPAL COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS;

DISCRIMINANT ANALYSIS; STELLAR SPECTRAL CLASSIFICATION;

PATTERN RECOGNITION SYSTEMS;

EID: 0242492989     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. S. Aeberhard, D. Coomans and Olivier de Vel, "Comparative Analysis of Statistical Pattern Recognition Methods in High Dimensional Settings," Patt. Recog., vol. 27, no. 8, pp. 1065-1077, 1994.
2. C. A. L. Bailer-Jones, "Automated stellar classification for large surveys: a review of methods and results", in Automated Data Anal. in Astro., R. Gupta, H. P. Singh and C. A. L. Bailer-Jones eds., pp.83-98, Narosa Pub. House, New Delhi, 2001.
3. C. M. Bishop, Neural Networks for Pattern Recognition, Oxford University Press, Oxford, 1995.
4. B. Efron and R. Tibshirani, An Introduction to the Bootstrap, Chaoman and Hall, London, 1993.
5. P. Guo, "Spectral Pattern Recognition with Regularized Gaussian Classifier", ICNNSP'2003, (accepted), NanJing, Dec. 2003.
6. R. A. Gupta, R. Gulati, P. Gothoskar and S. Khobragade, "Stellar spectral classification using automated schemes", Astrophysical Journal, vol.426, pp.340-344, 1994.
7. I. T. Jolliffe, Principal Component Analysis, Springer-Verlag, New York, 1986.
8. R. E. Kalman, "A New Approach to Linear Filtering and Prediction Problems", Trans. of the ASMEJ. of Basic Engr., pp. 35-45, 1960.
9. H. Martens and T. Naes, Multivariate Calibration, Wiley, New York, 1991.
10. D. M. Qin, P. Guo, Z. Y. Hu and Y. H. Zhao, "Automated Classification of Celestial Spectra Based on Statistical Mixture Modeling with RBF Neural Networks", Chinese J. of Astro. and Astrophy., vol.3, no.3, pp.277-286, 2003.
11. I. Rivals and L. Personnaz, "On Cross Validation for Model Selection", Neur. Comp., vol. 11, pp. 863-870, 1999.
12. S. C. Rutan, "Fast On-line Digital Filtering", Chemometrics Intell. Lab. Systems, vol.6, pp.191-201, 1989.
13. S. C. Rutan and S.D. Brown, "Model Error Compensation in Multi-Component Analysis Using Adaptive Kalman Filtering", Anal. Chim. Acta, vol. 160, pp.99-119, 1984.
14. G. Welch and G. Bishop, "An Introduction to the Kalman Filter", Tech. Rep., TR 95-041, Dept. of Comp. Sci. Uni. of North Carolina at Chapel Hill, 1995.
15. W. Wu, S. C. Rutan and A. Baldovin, "Feature Selection using the Kalman Filter for Classification of Multivariate Data", Anal. Chem. Acta, vol. 335, pp. 11-22, 1996.