Abstract
An automatic spectral classification system has been developed for objective prism spectra (dispersion 830 and 2440 Å/mm at H γ) of LMC stars, taken with the 1.2m UK Schmidt Telescope in Australia. A supervised method based on artificial neural networks (ANNs) has been successfully used, and a comparison with visually-classified spectra is reported. Furthermore, an unsupervised neural network approach based on the Kohonen SOM method has been tested: spectra containing peculiarities can be evidenced, and the possibility of classifying automatically objective-prism spectra using minimal a-priori information is demonstrated.
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