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    Modified Structure of Deep Neural Network for Training Multi-Fidelity Data With Non-Common Input Variables 

    Source: Journal of Mechanical Design:;2024:;volume( 146 ):;issue: 010:;page 101702-1
    Author(s): Jo, Hwisang; Song, Byeong-uk; Huh, Joon-Yong; Lee, Seung-Kyu; Lee, Ikjin
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Multi-fidelity surrogate (MFS) modeling technology, which efficiently constructs surrogate models using low-fidelity (LF) and high-fidelity (HF) data, has been studied to enhance the predictive capability of engineering ...
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