Chaos Powered Symbolic Regression in Be Stars Spectra Modeling

Be stars are characterized by prominent emission lines in their spectrum. In the past research has attention been given to creation a feature extraction method for classification of Be stars with focusing on the automated classification of Be stars based on typical shapes of their emission lines. The aim was to design a reduced, specific set of features characterizing and discriminating the shapes of Be lines. In this chapter we discuss possibility to create in an evolutionary way the model of spectra of Be stars. We focus on the evolutionary synthesis of the mathematical models of Be stars based on typical shapes of their emission lines. Analytical programming powered by classical random as well as chaotic random-like number generator is used here. Experimental data are used from the archive of the Astronomical Institute of the Academy of Sciences of the Czech Republic. Interpretation and explanation of analysis is given and discussed in this chapter.

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