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Expert systems and artificial neural networks applied to stellar optical spectroscopy: a comparative analysis

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5 Author(s)
A. Rodriguez ; Dept. of Inf. & Commun. Technol., A Coruna Univ., Spain ; C. Dafonte ; B. Arcay ; M. Manteiga
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This work presents a comparative study of two computational techniques - expert systems and artificial neural networks - applied to a specific field of astrophysics, the classification of the optical spectra of stars. We present a description of various expert systems and neural networks models, and the comparison of the results obtained by each technique individually and by a combination of both. We do not only intend to analyse the efficiency of these two approaches in the classification of stellar spectra; our final objective is the integration of several techniques in a unique hybrid system. This system will be capable of applying the most appropriate classification method to each spectrum, which widely opens the research in the field of automatic spectral classification.

Published in:

Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on  (Volume:4 )

Date of Conference:

25-29 July 2004