Stiffness and strength of stabilized organic soils—part ii/ii: parametric analysis and modeling with machine learning

HIGHLIGHTS

• who: Negin Yousefpour and collaborators from the Department of Infrastructure Engineering, The University of Melbourne, Parkville, VIC, Australia have published the article: Stiffness and Strength of Stabilized Organic Soils—Part II/II: Parametric Analysis and Modeling with Machine Learning, in the Journal: Geosciences 2021, 11, x FOR PEER REVIEW of /2021/
• what: This study investigates the mechanical behavior of stabilized organic soils using machine learning (ML) methods. In this study, using a hybrid experimental and ML approach, the stiffness and strength as the two critical engineering design parameters were investigated, and the impacts of the . . .
  

   

  

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