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    Machine Learning Predictive Models for Pile Drivability: An Evaluation of Random Forest Regression and Multivariate Adaptive Regression Splines

    New search for: Zhang, Wengang
    New search for: Wu, Chongzhi

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    Machine Learning Predictive Models for Pile Drivability: An Evaluation of Random Forest Regression and Multivariate Adaptive Regression Splines

    New search for: Zhang, Wengang
    New search for: Wu, Chongzhi

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    Check availability in my library
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    Machine Learning Predictive Models for Pile Drivability: An Evaluation of Random Forest Regression and Multivariate Adaptive Regression Splines

    New search for: Zhang, Wengang
    New search for: Wu, Chongzhi

    Access

    Access via TIB
    Check availability in my library
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    Document information
    Title:

    Machine Learning Predictive Models for Pile Drivability: An Evaluation of Random Forest Regression and Multivariate Adaptive Regression Splines

    Contributors:

    Zhang, Wengang (author) / Wu, Chongzhi (author)

    Conference:

    International Conference on Information Technology in Geo-Engineering ; 3. ; 2019 ; Guimarães

    Published in:

    Information technology in geo-engineering

    Publication date:

    2020

    ISBN:

    9783030320287

    Type of media:

    Conference paper

    Type of material:

    Print

    Language:

    English

    Keywords:

    Hydraulic engineering , Geoengineering, Foundations, Hydraulics , Engineering mathematics

    Classification:

    DDC:  624.15
    BKL:  56.20 Ingenieurgeologie, Bodenmechanik / 56.03 Methoden im Bauingenieurwesen / 38.03 Methoden und Techniken der Geowissenschaften

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