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    Multifidelity PhysicsConstrained Neural Networks With Minimax Architecture 

    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003:;page 31008
    Author(s): Liu, Dehao;Pusarla, Pranav;Wang, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Data sparsity is still the main challenge to apply machine learning models to solve complex scientific and engineering problems. The root cause is the “curse of dimensionality” in training these models. Training algorithms ...
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    Source: Journal of Computing and Information Science in Engineering:;2022:;volume( 023 ):;issue: 003:;page 31008-1
    Author(s): Liu, Dehao; Pusarla, Pranav; Wang, Yan
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Data sparsity is still the main challenge to apply machine learning models to solve complex scientific and engineering problems. The root cause is the “curse of dimensionality” in training these models. Training algorithms ...
    Request PDF
    DSpace software copyright © 2002-2015  DuraSpace
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian