文档介绍：Expert Systems with Applications 27 (2004) 237–244
ate/eswa
Automated knowledge-based analysis and classification of stellar spectra
using fuzzy reasoning
Alejandra Rodrı´gueza,*, Bernardino Arcaya, Carlos Dafontea, Minia Manteigab, Iciar Carricajob
aDepartment of Information munications Technologies, Campus de Elvina, University of A Corun˜a, A Corun˜a 15071, Spain
bDepartment of Navigation and Earth Sciences, Campus de Riazor, University of A Corun˜a, A Corun˜a 15011, Spain
Abstract
This paper presents the application of artificial intelligence techniques to optical spectroscopy, a specific field of Astrophysics. We propose
the analysis, design and implementation of an intelligent system for the analysis and classification of the low-resolution optical spectra of
supergiant, giant and dwarf stars, with luminosity levels I, III and V, respectively.
The developed system automatically and objectively collects the most important spectral features, and determines the temperature and
luminosity of the stars according to the current standard system.
The system bines signal processing, expert systems and fuzzy logic techniques, and integrates them through the use of a
relational database, which allows us to structure the collected astronomical data and to contrast the results of the different classification
methods.
As an additional research, we have designed and im