Wb. Weaver et Av. Torresdodgen, ACCURATE 2-DIMENSIONAL CLASSIFICATION OF STELLAR SPECTRA WITH ARTIFICIAL NEURAL NETWORKS, The Astrophysical journal, 487(2), 1997, pp. 847-857
We present a solution to the long-standing problem of automatically cl
assifying stellar spectra of all temperature and luminosity classes wi
th the accuracy shown by expert human classifiers. We use the 15 Angst
rom resolution near-infrared spectral classification system described
by Torres-Dodgen & Weaver in 1993. Using the spectrum with no manual i
ntervention except wavelength registration, artificial neural networks
(ANNs) can classify these spectra with Morgan-Keenan types with an ac
curacy comparable to that obtained by human experts using 2 Angstrom r
esolution blue spectra, which is about 0.5 types (subclasses) in tempe
rature and about 0.25 classes in luminosity. Accurate temperature clas
sification requires a hierarchy of ANNs, while luminosity classificati
on is most successful with a single ANN. We propose an architecture fo
r a fully automatic classification system.