The existing supernovae automatic classifiers do not models the human way of analyzing the spectrum. The automatic method proposed in this work takes into consideration the human way of classification using a Multilayer Perceptron neural network to classify the supernovae spectra. The experiments performed obtained significant results indicating the viability of using this method in places that require an automatic analysis or that have no specialist.
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