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    Integrated Machine Learning Using Autoencoder and Multilayer Perceptron Approaches to Predict Stress–Strain Curves of Frozen Soil–Rock Mixtures

    Source: International Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 010::page 04025229-1
    Author:
    Sun, Kai
    ,
    Li, Zhiqing
    ,
    Wang, Haosen
    ,
    Kong, Youxing
    ,
    Wang, Shuangjiao
    ,
    Zhou, Yingxin
    ,
    Hu, Ruilin
    DOI: 10.1061/IJGNAI.GMENG-10984
    Publisher: American Society of Civil Engineers
    Abstract: Abstract Machine learning is extensively used in constitutive modeling of geomaterials and is critical for enhancing computational analyses in geotechnical engineering. In the area of geomechanical modeling, the primary application of machine learning ...
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      Integrated Machine Learning Using Autoencoder and Multilayer Perceptron Approaches to Predict Stress–Strain Curves of Frozen Soil–Rock Mixtures

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4311759
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    • International Journal of Geomechanics

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    contributor authorSun, Kai
    contributor authorLi, Zhiqing
    contributor authorWang, Haosen
    contributor authorKong, Youxing
    contributor authorWang, Shuangjiao
    contributor authorZhou, Yingxin
    contributor authorHu, Ruilin
    date accessioned2026-08-20T11:08:58Z
    date available2026-08-20T11:08:58Z
    date copyright2025/08/13
    date issued2025
    identifier otherIJGNAI.GMENG-10984.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311759
    description abstractAbstract Machine learning is extensively used in constitutive modeling of geomaterials and is critical for enhancing computational analyses in geotechnical engineering. In the area of geomechanical modeling, the primary application of machine learning ...
    publisherAmerican Society of Civil Engineers
    titleIntegrated Machine Learning Using Autoencoder and Multilayer Perceptron Approaches to Predict Stress–Strain Curves of Frozen Soil–Rock Mixtures
    typeJournal Article
    journal volume25
    journal issue10
    journal titleInternational Journal of Geomechanics
    identifier doi10.1061/IJGNAI.GMENG-10984
    journal fristpage04025229-1
    journal lastpage04025229-15
    page15
    treeInternational Journal of Geomechanics:;2025:;Volume ( 025 ):;issue: 010
    contenttypeFulltext
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