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Key features of the modelling method are described, as are the stages of modelling and the associated use of proprietary modelling tools.
In this paper, the parameter selection capabilities of the group method of data handling (GMDH) as an inductive self-organizing modelling method are used to construct sparse random sampling high dimensional model representations (RS-HDMR), from which the Sobol's first and second order global sensitivity indices can be derived.
The numerical results of the fuzzy modelling method are compared with the results of a conventional linear regression model.
Benefits and limitations of each modelling method are discussed.
Similar(56)
The modelling method is characterised by a decomposition of the model into interacting submodels and by a stepwise introduction of simplifying assumptions on different decomposition levels.
An application of this modelling method is realized by commercial software packages by importing fully coupled ANSYS© – models in MATLAB©.
An efficient dynamic modelling method is presented lumped stiffness method.
The modelling method is validated by comparison with experiments.
The modelling method is validated on test cases.
So, still a modelling method is needed which allows exact prediction of strength and stiffness.
In this study, a modelling method is presented which is able to predict stiffness and strength parameters of foldcores.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com