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Author: D.B. Ribeiro
43
Vol

Application of kernel k-means and kernel x-means clustering to obtain soil classes from cone penetration test data

July 15, 2020

Most methods available in the literature for soil classification from cone penetration test (CPT) data define soil classes using laboratory tests. One disadvantage of this approach is that field soil conditions are difficult to replicate in a lab. The alternative adopted in this work is trying to define soil classes only by the similarity of the CPT mea...

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42
Vol

Soil Classification System from Cone Penetration Test Data Applying Distance-Based Machine Learning Algorithms

July 08, 2019
Most work from the literature dedicated to soil classification systems from cone penetration test (CPT) data are based on simple two-dimensional charts. One alternative approach is using machine learning (ML) to produce new soil classification systems or to reproduce existing ones. The available studies within this research field can be considered limited, once ...
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