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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

    Extreme wave height detection based on the meteorological data, using hybrid NOF-ELM method

    Mahmoodi, Kumars / Nowruzi, Hashem | Taylor & Francis Verlag | 2022
    onshore structures. In this paper, a new hybrid Natural Outlier Factor-Extreme Learning Machine (NOF-ELM) method is proposed to predict the ...
    Schlagwörter: extreme waves , extreme learning machine

    Second-hand vessel valuation: an extreme gradient boosting approach

    Adland, Roar / Jia, Haiying / Harvei, Hans Christian Olsen et al. | Taylor & Francis Verlag | 2023

    We investigate the efficacy of the Extreme Gradient boosting (XGBoost) machine learning technique in

     ...
    Schlagwörter: extreme gradient boosting (XGBoost)