Enhancing of uniaxial compressive strength of travertine rock prediction through machine learning and multivariate analysis

Enhancing of uniaxial compressive strength of travertine rock prediction through machine learning and multivariate analysis

Indirect methods for predicting material properties in rock engineering are vital for assessing elastic mechanical properties. Accurately predicting material properties holds significant importance in rock and geotechnical engineering, as it strongly influences decisions about the design and constru...

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Bibliographic Details
Main Authors: Dima A. Malkawi, Samer R. Rabab'ah, Abdulla A. Sharo, Hussein Aldeeky, Ghada K. Al-Souliman, Haitham O. Saleh
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Results in Engineering
Subjects:
Travertine rock
Uniaxial compressive strength (UCS)
Tree model
K-nearest neighbors (KNN)
Artificial neural networks (ANN)
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302300720X

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http://www.sciencedirect.com/science/article/pii/S259012302300720X

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