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Analyzing Boltzmann Machine Parameters for Fast Convergence

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Bio-Inspired Applications of Connectionism (IWANN 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2085))

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Abstract

The behavior of a Boltzmann Machine (BM) according to changes in the parameters that determine its convergence is experimentally analyzed to find a way to accelerate the convergence towards a solution for the given optimization problem. The graph colouring problem has been chosen as a benchmark for which convergence with quadratic time complexity has been obtained.

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References

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Author information

Authors and Affiliations

  1. Department of Computer Architecture and Technology, University of Granada, Spain

    Fco. Javier Salcedo, Julio Ortega & Alberto Prieto

Authors
  1. Fco. Javier Salcedo
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  2. Julio Ortega
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  3. Alberto Prieto
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Editor information

Editors and Affiliations

  1. Departamento de Inteligencia Artificial, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n., 28040, Madrid, Spain

    José Mira

  2. Departamento de Arquitectura y Tecnología de Computadores, Universidad de Granada, Campus Fuentenueva, 18071, Granada, Spain

    Alberto Prieto

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© 2001 Springer-Verlag Berlin Heidelberg

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Javier Salcedo, F., Ortega, J., Prieto, A. (2001). Analyzing Boltzmann Machine Parameters for Fast Convergence. In: Mira, J., Prieto, A. (eds) Bio-Inspired Applications of Connectionism. IWANN 2001. Lecture Notes in Computer Science, vol 2085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45723-2_17

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  • DOI: https://doi.org/10.1007/3-540-45723-2_17

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42237-2

  • Online ISBN: 978-3-540-45723-7

  • eBook Packages: Springer Book Archive

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