On machine-learning-driven surrogates for sound transmission loss simulations

HIGHLIGHTS

  • who: Barbara Zaparoli Cunha and collaborators from the Laboratory of Tribology and Dynamics of Systems, Ecole Centrale de Lyon, Ecully, France, I S, University Gustave Eiffel, Inria, Rennes, France have published the research work: On Machine-Learning-Driven Surrogates for Sound Transmission Loss Simulations, in the Journal: (JOURNAL) of 19/Oct/2022
  • what: The aim of this paper is to identify ML methods capable of modeling non-smooth functions, as well as techniques to incorporate domain knowledge into the surrogate. This work investigates the application of sensitivity analysis methods embedded in the ML to improve . . .

     

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