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Fuzzy ARTMAP Based Neural Networks on the GPU for High-Performance Pattern Recognition

  • M. Martínez-Zarzuela
  • F. J. Díaz-Pernas
  • A. Tejero de Pablos
  • F. Perozo-Rondón
  • M. Antón-Rodríguez
  • D. González-Ortega
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6687)

Abstract

In this paper we introduce, to the best of our knowledge, the first adaptation of the Fuzzy ARTMAP neural network for its execution on a GPU, together with a self-designed neural network based on ART models called SOON. The full VisTex database, containing 167 texture images, is proved to be classified in a very short time using these GPU-based neural networks. The Fuzzy ARTMAP neural network implemented on the GPU performs up to ×100 times faster than the equivalent CPU version, while the SOON neural network is speeded-up by ×70 times. Also, using the same texture patterns the Fuzzy ARTMAP neural network obtains a success rate of 48% and SOON of 82% for texture classification.

Keywords

Fuzzy ARTMAP SOON GPU Computing CUDA Neural Networks Texture recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • M. Martínez-Zarzuela
    • 1
  • F. J. Díaz-Pernas
    • 1
  • A. Tejero de Pablos
    • 1
  • F. Perozo-Rondón
    • 1
  • M. Antón-Rodríguez
    • 1
  • D. González-Ortega
    • 1
  1. 1.Higher School of Telecommunications EngineeringValladolidSpain

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