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Shifting of LHS Design for Surrogate Modeling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F17%3A00312721" target="_blank" >RIV/68407700:21110/17:00312721 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Shifting of LHS Design for Surrogate Modeling

  • Original language description

    Surrogate 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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

    <a href="/en/project/GJ16-11473Y" target="_blank" >GJ16-11473Y: Identification of Aleatory Uncertainty in Parameters of Heterogenous Materials</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Engineering Mechanics 2017 - Book of full texts

  • ISBN

    978-80-214-5497-2

  • ISSN

    1805-8248

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    690-693

  • Publisher name

    Brno University of Technology

  • Place of publication

    Brno

  • Event location

    Svratka

  • Event date

    May 15, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000411657600162