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Application of the LVQ neural method to a stellar catalogue

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Artificial Neural Networks (IWANN 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 540))

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Abstract

We present the application of the Learning Vectorial Quantification Neural Method to the study of a stellar catalogue containing more than 12000 stars. One of the first results is the appearance of three statistically well defined groups of stars that fulfill some kinematic properties corresponding to the Thin Disk, Thick Disk and Halo components of the Milky Way.

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Author information

Authors and Affiliations

  1. Departament de Matemàtica Aplicada i Telemàtica ETSETB, Universitat Politècnica de Catalunya, Apartat, 30002, Barcelona, Spain

    M. Hernandez-Pajares

  2. Departament de Teoría del Senyal i Comunicacions ETSETB, Universitat Politècnica de Catalunya Apartat, 30002, Barcelona, Spain

    E. Monte

Authors
  1. M. Hernandez-Pajares
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  2. E. Monte
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Editor information

Alberto Prieto

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© 1991 Springer-Verlag Berlin Heidelberg

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Hernandez-Pajares, M., Monte, E. (1991). Application of the LVQ neural method to a stellar catalogue. In: Prieto, A. (eds) Artificial Neural Networks. IWANN 1991. Lecture Notes in Computer Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0035923

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  • DOI: https://doi.org/10.1007/BFb0035923

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54537-8

  • Online ISBN: 978-3-540-38460-1

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