Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Surrogate model uncertainty quantification for active learning reliability analysis


    Weitere Titelangaben:

    Chinese Journal of Aeronautics


    Beteiligte:
    PANG, Yong (Autor:in) / ZHANG, Shuai (Autor:in) / LIANG, Pengwei (Autor:in) / WANG, Muchen (Autor:in) / GONG, Zhuangzhuang (Autor:in) / SONG, Xueguan (Autor:in) / KAN, Ziyun (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2024




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Noise Filtering and Uncertainty Quantification in Surrogate based Optimization

    Fernandez-Godino, M Giselle / Haftka, Raphael T. / Balachandar, Sivaramakrishnan et al. | AIAA | 2018


    Interval Reduced Order Surrogate Modelling Framework for Uncertainty Quantification

    Faza, Ghifari A. / Shariatmadar, Keivan / Hallez, Hans et al. | AIAA | 2024


    Uncertainty Quantification of Material Mechanical Properties Using Surrogate Models

    Smith, C. Frederic / Lapp, Braden / Glavicic, Michael | AIAA | 2016


    Data-driven Surrogate Modeling using Deep Learning for Uncertainty Quantification of Random Fields

    Palar, Pramudita S. / Stevenson, Rafael / Amalinadhi, Cahya et al. | AIAA | 2023


    The Verification and Uncertainty Quantification of Surrogate Models Used for Structural Analysis

    Ross, M. / Urbina, A. / Simmermacher, T. et al. | British Library Conference Proceedings | 2012