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    Application of an Artificial Neural Network for Modeling the Mechanical Behavior of Carbonate Soils 

    Source: International Journal of Geomechanics:;2014:;Volume ( 014 ):;issue: 001
    Author(s): Rashidian; Hassanlourad
    Publisher: American Society of Civil Engineers
    Abstract: Carbonate soils have some distinctive features such as compressibility and skeletal particle crushability that make them distinguishable from other types of soils. Many experimental models have been developed to describe ...
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    Modeling the Mechanical Behavior of Carbonate Sands Using Artificial Neural Networks and Support Vector Machines 

    Source: International Journal of Geomechanics:;2016:;Volume ( 016 ):;issue: 001
    Author(s): V. R.; Kohestani; Hassanlourad
    Publisher: American Society of Civil Engineers
    Abstract: Carbonate sands that are specific soils have some unusual characteristics, such as particle crushability and compressibility, that distinguish their behavior from other types of soil. Because of their large diversity, they ...
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    Modeling the Mechanical Behavior of Carbonate Sands Using Artificial Neural Networks and Support Vector Machines 

    Source: International Journal of Geomechanics:;2016:;Volume ( 016 ):;issue: 001
    Author(s): V. R. Kohestani; M. Hassanlourad
    Publisher: American Society of Civil Engineers
    Abstract: Carbonate sands that are specific soils have some unusual characteristics, such as particle crushability and compressibility, that distinguish their behavior from other types of soil. Because of their large diversity, they ...
    Request PDF
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