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Use of a layered neural nets as a display method for n-dimensional distributions

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New Trends in Neural Computation (IWANN 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 686))

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Abstract

In this paper we present some examples of a method based on layered neural nets, trained with multi-seed backpropagation, to display a n-dimensional distribution in a projected space of 1, 2 or 3 dimensions. The method can be used as encoder.

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Authors and Affiliations

  1. Department d'Estructura i Constituens de la Materia, Universitat de Barcelona, Diagonal 647, E-08028, Barcelona, Spain

    Lluís Garrido

  2. Institut de Física d'Altes Energies, Universitat Autònoma de Barcelona, E-08193, Bellaterra (Barcelona), Spain

    Lluís Garrido & Vicens Gaitan

  3. Instituto de Astrofísica de Canarias, E-38200, La Laguna (Tenerife), Spain

    Miquel Serra-Ricart & Xavier Calbet

Authors
  1. Lluís Garrido
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  2. Vicens Gaitan
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  3. Miquel Serra-Ricart
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  4. Xavier Calbet
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Editor information

José Mira Joan Cabestany Alberto Prieto

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© 1993 Springer-Verlag Berlin Heidelberg

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Garrido, L., Gaitan, V., Serra-Ricart, M., Calbet, X. (1993). Use of a layered neural nets as a display method for n-dimensional distributions. In: Mira, J., Cabestany, J., Prieto, A. (eds) New Trends in Neural Computation. IWANN 1993. Lecture Notes in Computer Science, vol 686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56798-4_203

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  • DOI: https://doi.org/10.1007/3-540-56798-4_203

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56798-1

  • Online ISBN: 978-3-540-47741-9

  • eBook Packages: Springer Book Archive

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