Automatic Classification of Subdwarf Spectra using a Neural Network

We apply a multilayer feed-forward back propagation artificial neural network to a sample of 380 subdwarf spectra classified by Drilling et al. (2002), showing that it is possible to use this technique on large sets of spectra and obtain classifications in good agreement with the standard. We briefly investigate the im- pact of training set size, showing that large training sets do not necessarily perform significantly better than small sets.