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    Application of Artificial Intelligence in Geo-Engineering

    New search for: Samui, Pijush

    Abstract Geotechnical engineers use various Artificial Intelligence (AI) techniques for solving different problems. This paper will survey the application of different AI techniques {Artificial Neural Network (ANN), Support Vector Machine (SVM), Least Square Support Vector Machine (LSSVM), Genetic Programing (GP), Relevance Vector Machine (RVM), Multivariate Adaptive Regression Spline (MARS), Extreme Learning Machine (ELM), Adaptive Neuro Fuzzy Inference System (ANFIS), Minimax Probability Machine Regression (MPMR), Gaussian Process Regression (GPR), Adaptive Neuro Fuzzy Inference System (ANFIS)} in different fields of geotechnical engineering such as shallow foundation, site characterization, liquefaction, slope stability, reliability, etc. The advantages of different AI techniques will be described.

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    Application of Artificial Intelligence in Geo-Engineering

    New search for: Samui, Pijush

    Abstract Geotechnical engineers use various Artificial Intelligence (AI) techniques for solving different problems. This paper will survey the application of different AI techniques {Artificial Neural Network (ANN), Support Vector Machine (SVM), Least Square Support Vector Machine (LSSVM), Genetic Programing (GP), Relevance Vector Machine (RVM), Multivariate Adaptive Regression Spline (MARS), Extreme Learning Machine (ELM), Adaptive Neuro Fuzzy Inference System (ANFIS), Minimax Probability Machine Regression (MPMR), Gaussian Process Regression (GPR), Adaptive Neuro Fuzzy Inference System (ANFIS)} in different fields of geotechnical engineering such as shallow foundation, site characterization, liquefaction, slope stability, reliability, etc. The advantages of different AI techniques will be described.

    Access

    Check access
    Check availability in my library
    Order at Subito €

    Application of Artificial Intelligence in Geo-Engineering

    New search for: Samui, Pijush

    Abstract Geotechnical engineers use various Artificial Intelligence (AI) techniques for solving different problems. This paper will survey the application of different AI techniques {Artificial Neural Network (ANN), Support Vector Machine (SVM), Least Square Support Vector Machine (LSSVM), Genetic Programing (GP), Relevance Vector Machine (RVM), Multivariate Adaptive Regression Spline (MARS), Extreme Learning Machine (ELM), Adaptive Neuro Fuzzy Inference System (ANFIS), Minimax Probability Machine Regression (MPMR), Gaussian Process Regression (GPR), Adaptive Neuro Fuzzy Inference System (ANFIS)} in different fields of geotechnical engineering such as shallow foundation, site characterization, liquefaction, slope stability, reliability, etc. The advantages of different AI techniques will be described.

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    Document information
    Title:

    Application of Artificial Intelligence in Geo-Engineering

    Contributors:

    Samui, Pijush (author)

    Published in:

    Information Technology in Geo-Engineering ; 30-44

    Springer Series in Geomechanics and Geoengineering

    Publication date:

    2019-09-25

    Size:

    15 pages

    ISBN:

    978-3-030-32028-7 , 978-3-030-32029-4

    ISSN:

    1866-8755 , 1866-8763

    DOI:

    https://doi.org/10.1007/978-3-030-32029-4_3

    Type of media:

    Article/Chapter (Book)

    Type of material:

    Electronic Resource

    Language:

    English

    Keywords:

    Artificial Neural Network , Support Vector Machine , Relevance Vector Machine , Least Square Support Vector Machine , Geotechnical engineering Engineering , Geoengineering, Foundations, Hydraulics , Geotechnical Engineering & Applied Earth Sciences , Mathematical and Computational Engineering

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