Automatic spectral classification of stellar spectra with low signal-to-noise ratio using artificial neural networks
Context. As part of a project aimed at deriving extinction-distances for thirty-five planetary nebulae, spectra of a few thousand stars were analyzed to determine their spectral type and luminosity class. Aims: We present here the automatic spectral classification process used to classify stellar spectra. This system can be used to classify any
Navarro, S. G. et al.
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2012