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+keyword:(extreme learning machine)

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    probability prediction model of the structural static responses under temperature loads based on sparse Bayesian extreme learning machine (SBELM) is ...
    Schlagwörter: sparse bayesian learning , extreme learning machine

    Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method

    Li, Yuanping / Ma, Changxi | ASCE | 2023
    secondary decomposition integration method that combines empirical modal decomposition (EMD), sample entropy (SE), and kernel extreme learning ...
    Schlagwörter: Kernel extreme learning machine (KELM)

    Effect of Construction Work Zone on Rear-End Conflicts by Vehicle Type under Heterogeneous Traffic Conditions

    Bidkar, Omkar / Arkatkar, Shriniwas / Joshi, Gaurang et al. | ASCE | 2023
    extracted using a newly developed machine learning–based semiautomated trajectory extractor tool. The derived trajectory data from both sections ...
    Schlagwörter: Generalized extreme value