Evaluation of Multiple Linear Regression and Machine Learning Approaches to Predict Soil Compaction and Shear Stress Based on Electrical Parameters

Evaluation of Multiple Linear Regression and Machine Learning Approaches to Predict Soil Compaction and Shear Stress Based on Electrical Parameters

This study investigated the relationships between the electrical and selected mechanical properties of soil. The analyses focused on comparing various modeling relationships under study methods that included machine learning methods. The input parameters of the models were apparent soil electrical c...

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Bibliographic Details
Main Authors: Katarzyna Pentoś, Jasper Tembeck Mbah, Krzysztof Pieczarka, Gniewko Niedbała, Tomasz Wojciechowski
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Applied Sciences
Subjects:
apparent soil electrical conductivity
magnetic susceptibility
soil compaction
neural network
support vector machine
Online Access:https://www.mdpi.com/2076-3417/12/17/8791

Internet

https://www.mdpi.com/2076-3417/12/17/8791

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