Fuzzy ARTMAP based neural networks on the GPU for high-performance pattern recognition

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.

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Bibtex:

@inproceedings{martinez2011fuzzy,
  title={Fuzzy ARTMAP based neural networks on the GPU for high-performance pattern recognition},
  author={Mart{\'\i}nez-Zarzuela, Mario and D{\'\i}az-Pernas, FJ and Pablos, A and Perozo-Rond{\'o}n, F and Ant{\'o}n-Rodr{\'\i}guez, M{\'\i}riam and Gonz{\'a}lez-Ortega, D},
  booktitle={International Work-Conference on the Interplay Between Natural and Artificial Computation},
  pages={343--352},
  year={2011},
  organization={Springer}
}