191 citations · 694 across the 41 of their papers we have counts for
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eess.SY2019
Surrogate model approach for investigating the stability of a friction-induced oscillator of Duffing's type
Jan N. Fuhg, Amelie Fau
Parametric studies for dynamic systems are of high interest to detect instability domains. This prediction can be demanding as it requires a refined exploration of the parametric s…
cs.LG2019★ 1 cited
An innovative adaptive kriging approach for efficient binary classification of mechanical problems
Jan N. Fuhg, Amelie Fau
Kriging is an efficient machine-learning tool, which allows to obtain an approximate response of an investigated phenomenon on the whole parametric space. Adaptive schemes provide…
stat.ML2019★ 6 cited
Adaptive surrogate models for parametric studies
Jan N. Fuhg
The computational effort for the evaluation of numerical simulations based on e.g. the finite-element method is high. Metamodels can be utilized to create a low-cost alternative. H…