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Comparing implementations of Radial Basis Function Neural Networks on three parallel machines

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From Natural to Artificial Neural Computation (IWANN 1995)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 930))

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Abstract

In this paper we compare the implementations of Radial Basis Function (RBF) Neural Network on three parallel Neuro-Computers: the DRA machine (1D), the SMART machine (1D) and the MANTRA machine (2D). RBF networks can be used as probability density function estimators in a classification framework. The amount of calculation required for the simulation of such networks grows rapidly with the size of the learning database. Due to the highly parallel nature of RBF networks, parallel architectures are ideal candidates for such simulations. In this work we have tried to make a comparison of the three architectures based on the efficiency measure. We conclude this paper by outlining the different algorithmic constraints imposed by the particularities of each of the three architectures. We also discuss the I/O limitations for real time classification. Finally, we consider two real data-bases examples on which we compare the different machines.

Part of this work has been funded by the ESPRIT-BRA project number 6891, ELENA-Nerves2, supported by the Commission of the European Communities (DG XIII)

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Author information

Authors and Affiliations

  1. Laboratoire de Traitement D'Images. et Reconnaissance de Formes, Institut National Polytechnique de Grenoble, 46, Avenue Félix-Viallet, 38031, Grenoble, France

    N. Maria

  2. Departament d'Enginyeria Electrónica, Universitat Politècnica de Catalunya, 08034, Barcelona, Spain

    J. M. Moreno

  3. LGI2P-EMA-EERIE, Parc Scientifique G. Besse, 30000, Nimes, France

    A. Guérin-Dugué

  4. SAMOS, Université Paris 1 Panthéon-Sorbonne, 90 Rue de Tolbiac, F-75634, Paris Cedex 13

    F. Blayo

Authors
  1. N. Maria
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  2. A. Guérin-Dugué
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  3. J. M. Moreno
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  4. F. Blayo
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Editor information

José Mira Francisco Sandoval

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© 1995 Springer-Verlag Berlin Heidelberg

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Maria, N., Guérin-Dugué, A., Moreno, J.M., Blayo, F. (1995). Comparing implementations of Radial Basis Function Neural Networks on three parallel machines. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_249

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  • DOI: https://doi.org/10.1007/3-540-59497-3_249

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59497-0

  • Online ISBN: 978-3-540-49288-7

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