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h- and p-adaptivity driven by recovery and residual-based error estimators for PHT-splines applied to time-harmonic acoustics.

Javier VidelaCosmin AnitescuTahsin KhajahStéphane P. A. BordasElena Atroshchenko
Published in: Comput. Math. Appl. (2019)
Keyphrases
  • error rate
  • neural network
  • b spline
  • error detection
  • database
  • data mining
  • genetic algorithm
  • feature selection
  • image sequences
  • upper bound
  • maximum likelihood
  • adaptive learning