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A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs.

Cicero A. M. da Silva NevesMauro RoisenbergGuenther Schwedersky Neto
Published in: IJCNN (2009)
Keyphrases
  • artificial neural networks
  • cost function
  • neural network
  • support vector machine
  • probability distribution
  • machine learning
  • objective function
  • evolutionary algorithm
  • model selection
  • estimation error