Abstract
In this paper we present an application of an artificial neural network model based on a multi-layered backpropagation algorithm for spectral classification of UV data from the International Ultraviolet Explorer (IUE) low dispersion spectra reference atlas. The model used is similar to that of von Hippel et al. (1994), and is found to reduce the classification error as compared to the recently reported results on the same data set (Gulati et al. 1994b). The improved version of the network is much simpler in structure and the training time is reduced by a factor of almost 20. Such networks will prove very useful in efficient classification of large databases
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Subject headings: neural networks, stellar spectra, classification
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Mukherjee, S., Bhattacharya, U., Parui, S.K. et al. A multi-layered backpropagation artificial neural network algorithm for UV spectral classification. Astrophys Space Sci 239, 361–373 (1996). https://doi.org/10.1007/BF00645786
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DOI: https://doi.org/10.1007/BF00645786