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Study of stellar populations using neural network techniques

Author
Hernandez, M.; Monte, E.
Type of activity
Journal article
Journal
IAU symposia
Date of publication
1992-01
Volume
149
First page
430
Last page
433
DOI
https://doi.org/10.1007/978-94-011-2434-8_97 Open in new window
URL
http://link.springer.com/chapter/10.1007/978-94-011-2434-8_97 Open in new window
Abstract
In this paper we consider a first application of the Learning Vectorial Quantification Neural method (LVQ) to the problem of studying and distinguishing between different populations within an stellar catalogue of the solar neighbourhood (a complete description can be found in Hernández-Pajares and Monte, 1991, Artificial Neural Networks, Ed. A. Prieto, Lecture Notes in Computer Science 540, Springer-Verlag, p.422). It consists, briefly, in the approximation of a set of vectors in a certain cha...
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
IonSAT - Ionospheric determination and navigation based on Satellite And Terrestrial systems
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants