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    Structural Identification by Bayesian Neural Network with the Most Probable Architecture

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    AJRUA6.RUENG-1710.pdf (2.831Mb)
    Date
    2026
    Author
    Yang, Jia-Hua
    Liu, Yi
    Lam, Heung-Fai
    Tan, Sui
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    Abstract
    AbstractIn this work, neural networks (NNs) are used for structural identification by constructing the relationship between experimental data and structural properties. One problem is how to choose an appropriate NN architecture. It is not ideal to ...
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    http://yetl.yabesh.ir/yetl1/handle/yetl/4314264
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    • ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

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