Tracking the critical offshore conditions leading to inundation via active learning of full-process based models

HIGHLIGHTS

• who: Jeremy Rohmer et al. from the BRGM, avClaude Guillemin, BP, Orleans , France have published the paper: Tracking the critical offshore conditions leading to inundation via active learning of full-process based models, in the Journal: (JOURNAL) of 28/02/2010
• what: The authors propose a strategy combining meta-modelling (of type Support Vector Machine) and active learning techniques to track with a limited number of long- -shore case using the process-based SWASH model (computational time of 10 hours for one run). The authors focus on the Support Vector Machines SVM (e_g, ). The aim . . .
  

   

  

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