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Paper: Faint object classification using neural networks
Volume: 25, Astronomical Data Analysis Software and Systems I
Page: 254
Authors: Serra-Ricart, M.; Gaitan, V.; Delgado, S.; Perez-Fournon, I.
Abstract: In this paper we propose a method to classify faint objects from digital astronomical images based on multilayer feed-forward neural networks which have been trained by the back-propagation procedure (Rumelhart 1986) from real data.
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