Modified GMDH-NN algorithm and its application for global sensitivity analysis
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Publication:1694635
DOI10.1016/j.jcp.2017.07.027zbMath1383.62352OpenAlexW2738757547MaRDI QIDQ1694635
Publication date: 6 February 2018
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jcp.2017.07.027
neural networkglobal sensitivity analysishigh-dimensional model representationgroup method of data handling algorithmSobol' sensitivity indices
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Cites Work
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- Metamodelling with independent and dependent inputs
- Making best use of model evaluations to compute sensitivity indices
- Global sensitivity analysis using sparse high dimensional model representations generated by the group method of data handling
- Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates
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