  Automated techniques have been developed to automate the process of
classification of objects or their analysis. The large datasets provided by
upcoming spectroscopic surveys with dedicated telescopes urges scientists to
use these automated techniques for analysis of such large datasets which are
now available to the community. Sloan Digital Sky Survey (SDSS) is one of such
surveys releasing massive datasets. We use Probabilistic Neural Network (PNN)
for automatic classification of about 5000 SDSS spectra into 158 spectral type
of a reference library ranging from O type to M type stars.
