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    Concept for Monitoring-Based Stress Prediction in Structures by Means of Artificial Neural Networks and Synthetic Noise

    Source: Journal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 002::page 04025252-1
    Author:
    Gottardi, Nicola
    ,
    Freitag, Steffen
    ,
    Meschke, Günther
    DOI: 10.1061/JSENDH.STENG-14044
    Publisher: American Society of Civil Engineers
    Abstract: AbstractAn approach for monitoring and simulation-based stress prediction employing feed-forward neural networks (FNNs) is presented, where artificial noise is used to improve the robustness of structural stress prediction. The approach is demonstrated on ...
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      Concept for Monitoring-Based Stress Prediction in Structures by Means of Artificial Neural Networks and Synthetic Noise

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4313290
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    contributor authorGottardi, Nicola
    contributor authorFreitag, Steffen
    contributor authorMeschke, Günther
    date accessioned2026-08-20T12:15:39Z
    date available2026-08-20T12:15:39Z
    date copyright2025/11/17
    date issued2026
    identifier otherJSENDH.STENG-14044.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4313290
    description abstractAbstractAn approach for monitoring and simulation-based stress prediction employing feed-forward neural networks (FNNs) is presented, where artificial noise is used to improve the robustness of structural stress prediction. The approach is demonstrated on ...
    publisherAmerican Society of Civil Engineers
    titleConcept for Monitoring-Based Stress Prediction in Structures by Means of Artificial Neural Networks and Synthetic Noise
    typeJournal Article
    journal volume152
    journal issue2
    journal titleJournal of Structural Engineering
    identifier doi10.1061/JSENDH.STENG-14044
    journal fristpage04025252-1
    journal lastpage04025252-16
    page16
    treeJournal of Structural Engineering:;2026:;Volume ( 152 ):;issue: 002
    contenttypeFulltext
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