Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding

HIGHLIGHTS

• who: Siham El Garroussi from the CECI/CERFACS, CNRS, Gaspard Coriolis, Toulouse , France have published the article: Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding, in the Journal: (JOURNAL) of 75,/03/1930
• what: The dimension of the model output should thus be reduced before the meta-modeling algorithm is applied (Bellman and Kalaba 1961; Lataniotis et_al 2020; El Garroussi et_al 2019). In this paper, a surrogate model is developed to represent the 2D water depth field over the river . . .
  

   

  

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