Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks

Comprehensive study on the Python-based regression machine learning models for prediction of uniaxial compressive strength using multiple parameters in Charnockite rocks

Abstract The strength of rock under uniaxial compression, commonly known as Uniaxial Compressive Strength (UCS), plays a crucial role in various geomechanical applications such as designing foundations, mining projects, slopes in rocks, tunnel construction, and rock characterization. However, sampli...

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Bibliographic Details
Main Authors: Sowmya Kochukrishnan, Premalatha Krishnamurthy, Yuvarajan D., Nandagopal Kaliappan
Format: Article
Language:English
Published: Nature Portfolio 2024-03-01
Series:Scientific Reports
Subjects:
Python model
Machine learning techniques
Regression
Uniaxial compressive strength
Indirect parameters
Online Access:https://doi.org/10.1038/s41598-024-58001-1

Internet

https://doi.org/10.1038/s41598-024-58001-1

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