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Hierarchical model reduction driven by machine learning for parametric advection-diffusion-reaction problems in the presence of noisy data.

Massimiliano Lupo PasiniSimona Perotto
Published in: CoRR (2022)
Keyphrases
  • noisy data
  • hierarchical model
  • machine learning
  • high dimensional
  • noise tolerant
  • high dimensionality
  • neural network
  • pattern recognition
  • reaction diffusion
  • data sets
  • missing data
  • noise free
  • hierarchical models