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Predicting Resilient Modulus of Cementitiously Stabilized Subgrade Soils Using Neural Network, Support Vector Machine, and Gaussian Process Regression

Author(s): ORCID (Ph.D. Student, Dept. of Civil, Environmental, and Ocean Engineering, Stevens Institute of Technology, Hoboken, NJ 07030)
(Associate Professor, Dept. of Technology, Illinois State University, Campus Box 5100, Normal, IL 61780 (corresponding author).)
Medium: journal article
Language(s): English
Published in: International Journal of Geomechanics, , n. 6, v. 21
Page(s): 04021073
DOI: 10.1061/(asce)gm.1943-5622.0002029
Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1061/(asce)gm.1943-5622.0002029.
  • About this
    data sheet
  • Reference-ID
    10606718
  • Published on:
    08/05/2021
  • Last updated on:
    08/05/2021
 
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