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A low-cost-memory CUDA implementation of the conjugate gradient method applied to globally supported radial basis functions implicits.

Diogo Fernando TrevisanJoão Paulo GoisHarlen Costa Batagelo
Published in: J. Comput. Sci. (2014)
Keyphrases
  • radial basis function
  • low cost
  • conjugate gradient method
  • multilayer perceptron
  • rbf neural network
  • support vector
  • basis functions
  • neural network
  • machine learning
  • pattern recognition