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pro vyhledávání: '"Thummerer, Tobias"'
Autor:
Thummerer, Tobias, Mikelsons, Lars
One of the core concepts in science, and something that happens intuitively in every-day dynamic systems modeling, is the combination of models or methods. Especially in dynamical systems modeling, often two or more structures are combined to obtain
Externí odkaz:
http://arxiv.org/abs/2406.08093
Autor:
Thummerer, Tobias, Mikelsons, Lars
Using vanilla NeuralODEs to model large and/or complex systems often fails due two reasons: Stability and convergence. NeuralODEs are capable of describing stable as well as instable dynamic systems. Selecting an appropriate numerical solver is not t
Externí odkaz:
http://arxiv.org/abs/2302.10892
The term NeuralODE describes the structural combination of an Artifical Neural Network (ANN) and a numerical solver for Ordinary Differential Equations (ODEs), the former acts as the right-hand side of the ODE to be solved. This concept was further e
Externí odkaz:
http://arxiv.org/abs/2209.03933
Hybrid modeling, the combination of first principle and machine learning models, is an emerging research field that gathers more and more attention. Even if hybrid models produce formidable results for academic examples, there are still different tec
Externí odkaz:
http://arxiv.org/abs/2109.04880
This paper covers two major subjects: First, the presentation of a new open-source library called FMI.jl for integrating FMI into the Julia programming environment by providing the possibility to load, parameterize and simulate FMUs. Further, an exte
Externí odkaz:
http://arxiv.org/abs/2109.04351
Autor:
Thummerer, Tobias, Mikelsons, Lars
Publikováno v:
In IFAC PapersOnLine 2020 53(2):17548-17555
Autor:
Thummerer, Tobias, Mikelsons, Lars
Extended Abstract.
IFToMM D-A-CH Konferenz, vol. 2020Sechste IFToMM D-A-CH Konferenz 2020: 27./28. Februar 2020, Campus Technik Lienz
IFToMM D-A-CH Konferenz, vol. 2020Sechste IFToMM D-A-CH Konferenz 2020: 27./28. Februar 2020, Campus Technik Lienz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91acaf7992c69d88b983099247276dbf