000021387 001__ 21387
000021387 005__ 20170522124352.0
000021387 04107 $$aeng
000021387 046__ $$k2017-05-15
000021387 100__ $$aMyšáková, E.
000021387 24500 $$aSHIFTING OF LHS DESIGN FOR SURROGATE MODELING

000021387 24630 $$n23.$$pEngineering Mechanics 2017
000021387 260__ $$bBrno University of Technology, Institute of Solid Mechanics, Mechatronics and Biomechanics, Brno
000021387 506__ $$arestricted
000021387 520__ $$2eng$$aSurrogate modeling (Meta-modeling) is a commonly used approach for analysis of complex systems' behavior. Time and computing demands of analytical models describing such systems are usually very high and in cases of need of multiple evaluations (for example in Monte Carlo based reliability analysis) they cannot be used. Instead, a model of the original model called surrogate model can be used. The purpose of the surrogate model is to approximate an original model's response in an arbitrary point of the design domain while constructed on a very limited and thus computationally cheap training data. The training data consist of the Design of Experiments (DoE) and corresponding responses of the original model. The choice of the DoE is crucial for the quality of the surrogate's approximation and therefore the LHS design is often used for its convenient properties. The contribution proposes a procedure of shifting of a part of the design of experiments in cases where the area of interest is located after some original model's evaluations were performed. The goal is clear: to use the already computed training data while not deteriorate the quality of the DoE.

000021387 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000021387 653__ $$aSurrogate modeling, Design of Experiments, Latin Hypercube Sampling, Space-filling.

000021387 7112_ $$aEngineering Mechanics 2017$$cSvratka, CZ$$d2017-05-15 / 2017-05-18$$gEM2017
000021387 720__ $$aMyšáková, E.$$iLepš, M.
000021387 8560_ $$ffischerc@itam.cas.cz
000021387 8564_ $$s809261$$uhttps://invenio.itam.cas.cz/record/21387/files/0690.pdf$$yOriginal version of the author's contribution in proceedings, page 690, section SOL.
000021387 962__ $$r21225
000021387 980__ $$aPAPER