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Authors: Diego Ordóñez ; Carlos Dafonte ; Bernardino Arcay and Minia Manteiga

Affiliation: University of A Coruña, Spain

ISBN: 978-989-674-014-6

Keyword(s): Genetic algorithm, Artificial neural network, Connectionist systems, FFT, Wavelet transform, GAIA mission, Stellar spectra, Stellar parameters.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Data Manipulation ; Enterprise Information Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neural Network Software and Applications ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: 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.

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Paper citation in several formats:
Ordóñez D., Dafonte C., Arcay B. and Manteiga M. (2009). A COMBINATION OF CONNECTIONIST SYSTEMS AND EVOLUTIONARY COMPUTATION TECHNIQUES TO ACHIEVE THE OPTIMAL DOMAIN FOR STELLAR SPECTRA SIGNAL PROCESSING.In Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009) ISBN 978-989-674-014-6, pages 323-330. DOI: 10.5220/0002264403230330

@conference{icnc09,
author={Diego Ordóñez and Carlos Dafonte and Bernardino Arcay and Minia Manteiga},
title={A COMBINATION OF CONNECTIONIST SYSTEMS AND EVOLUTIONARY COMPUTATION TECHNIQUES TO ACHIEVE THE OPTIMAL DOMAIN FOR STELLAR SPECTRA SIGNAL PROCESSING},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)},
year={2009},
pages={323-330},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002264403230330},
isbn={978-989-674-014-6},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence - Volume 1: ICNC, (IJCCI 2009)
TI - A COMBINATION OF CONNECTIONIST SYSTEMS AND EVOLUTIONARY COMPUTATION TECHNIQUES TO ACHIEVE THE OPTIMAL DOMAIN FOR STELLAR SPECTRA SIGNAL PROCESSING
SN - 978-989-674-014-6
AU - Ordóñez D.
AU - Dafonte C.
AU - Arcay B.
AU - Manteiga M.
PY - 2009
SP - 323
EP - 330
DO - 10.5220/0002264403230330

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