Abstract
A system based on a multi-layer feed-forward neural network is presented, which is able to detect and extract single, multiple or overlapped spectra from objective prism images, and to perform a coarse classification. The data obtained are currently fed to subsequent wavelength calibration and detailed rule-based classification steps. Given the encouraging results obtained, we plan to use the neural network approach to perform the immediate classification of the extracted spectra with an accuracy of about 2 spectral sub-classes.
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