Kazan (Volga region) Federal University, KFU
KAZAN
FEDERAL UNIVERSITY
 
APPLICATION OF MACHINE LEARNING FOR PREDICTION OF CONE PENETRATION TEST DATA
Form of presentationArticles in international journals and collections
Year of publication2021
Языканглийский
  • Zaikin Artem Aleksandrovich, author
  • Latypov Ayrat Islamgalievich, author
  • Yabbarova Ekaterina Nikolaevna, author
  • Bibliographic description in the original language Yabbarova, E.N., Zaikin, A.A., Latypov, A.I. Application of Machine Learning for Prediction of Cone Penetration Test Data // IOP Conference Series: Earth and Environmental Science. - 2021. Vol. 666. R. 1-7
    Annotation IOP Conference Series: Earth and Environmental Science
    Keywords Multivariate Adaptive Regression Splines, Cone Penetration Test, Soil Liquefaction
    The name of the journal IOP Conference Series: Earth and Environmental Science
    URL https://www.scopus.com/record/display.uri?eid=2-s2.0-85102755271&origin=resultslist
    Please use this ID to quote from or refer to the card https://repository.kpfu.ru/eng/?p_id=251438&p_lang=2

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