Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model

Prediction of Compression Index of Fine-Grained Soils Using a Gene Expression Programming Model

In construction projects, estimation of the settlement of fine-grained soils is of critical importance, and yet is a challenging task. The coefficient of consolidation for the compression index (<i>C<sub>c</sub></i>) is a key parameter in modeling the settlement of fine-grain...

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Bibliographic Details
Main Authors: Danial Mohammadzadeh S., Seyed-Farzan Kazemi, Amir Mosavi, Ehsan Nasseralshariati, Joseph H. M. Tah
Format: Article
Language:English
Published: MDPI AG 2019-05-01
Series:Infrastructures
Subjects:
soil compression index
fine-grained soils
gene expression programming (GEP)
prediction
big data
machine learning
construction
infrastructures
deep learning
data mining
soil engineering
civil engineering
Online Access:https://www.mdpi.com/2412-3811/4/2/26

Internet

https://www.mdpi.com/2412-3811/4/2/26

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