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A composite neural network that learns from multi-fidelity data: Application to function approximation and inverse PDE problems.

Xuhui MengGeorge Em Karniadakis
Published in: J. Comput. Phys. (2020)
Keyphrases
  • function approximation
  • neural network
  • data sets
  • small number
  • training data
  • data points
  • reinforcement learning
  • support vector
  • artificial neural networks
  • dynamic programming
  • real valued