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ESA / IUE Under the Web

Barylak, M.; Ponz, J. D.; de La Fuente, A. +1 more

ESA/IUE under the Web

Barylak, M.; Ponz, J. D.; de la Fuente, A. +1 more

Ultraviolet stellar spectral classification using a multilevel tree neural network

Gupta, R.; Gulati, R. K.; Gothoskar, P. +1 more

Here we present a pattern classification technique based on an Artificial Neural Network (ANN) in a multi-level tree configuration to classify ultraviolet stellar spectra from the IUE Low-Dispersion Spectra Reference Atlas. Preliminary results of this technique show that 94% of the spectra have been classified correctly with an accuracy of one sub…

How tracer objects can improve competitive learning algorithms in astronomy

Murtagh, F.; Hernandez-Pajares, M.; Floris, J.

The main objective of this paper is to discuss how the use of tracer objects in competitive learning can improve results in stellar classification. To do this, we work with a Kohonen network applied to a reduced sample of the Hipparcos Input Catalogue, which contains missing values. The use of synthetic stars as tracer objects allows us to determi…