• Corpus ID: 252968416

Classifying Turbulent Environments via Machine Learning

  title={Classifying Turbulent Environments via Machine Learning},
  author={Michele Buzzicotti and Fabio Bonaccorso},
. The problem of classifying turbulent environments from partial observation is key for some theoretical and applied fields, from engineering to earth observation and astrophysics, e.g. to precondition searching of optimal control policies in different turbulent backgrounds, to predict the probability of rare events and/or to infer physical parameters labelling different turbulent set-ups. To achieve such goal one can use different tools depending on the system’s knowledge and on the quality and… 



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Data-driven science and engineering: machine learning, dynamical systems, and control

  • T. Peters
  • Computer Science
    Contemporary Physics
  • 2019

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