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This paper presents part of the work carried out by Coordination Unit 8 of the GAIA project. GAIA is ESA’s spacecraft which is planned to be operative at the start of 2012 and will carry out an a stereoscopic census of the Galaxy. During the present development cycle, synthetic spectra are used to determine the stellar atmospheric parameters, particularly effective temperatures, superficial gravities, metallicities, possible abundances of alpha elements, and individual abundancies of certain chemical elements. We present the results of the application of genetic algorithms to the selection of relevant information from a set of spectra. This information will subsequently feed an artificial neural network that is in charge of extracting the parameters.

A COMBINATION OF CONNECTIONIST SYSTEMS AND EVOLUTIONARY COMPUTATION TECHNIQUES TO ACHIEVE THE OPTIMAL DOMAIN FOR STELLAR SPECTRA SIGNAL PROCESSING