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New Publication of the Research Group on Computational Intelligence and Structural Reliability


A new paper with the title “Multilevel surrogate modeling approach for optimization problems with polymorphic uncertain parameters” is published in the International Journal of Approximate Reasoning. The paper is part of the Special Issue Reliable Computing and contains a surrogate modeling strategy, where deterministic finite element simulations, stochastic analyses as well as interval analyses are approximated by sequentially trained artificial neural networks.

The paper can be downloaded here: http://dx.doi.org/10.1016/j.ijar.2019.12.015.

Free download is available until March 3, 2020 via https://authors.elsevier.com/a/1aOcE,KD6ZNmqq

Workshop Herausforderung Tunnelbau 2021...

The use of underground space is a key factor for sustainable development of both industrial as well

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SFB Webinar: Integration of Cad & Computational An...

On November 3rd, 2021 the SFB 837 webinar on " Integration of Cad & Computational Analysis – Finit

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