Application of a Hybrid Machine Learning Model for the Prediction of Compressive Strength and Elastic Modulus of Rocks

Application of a Hybrid Machine Learning Model for the Prediction of Compressive Strength and Elastic Modulus of Rocks

This paper presents a machine learning-based approach to estimating the compressive strength and elastic modulus of rocks. A hybrid model, GWO-ELM, was built based on an extreme learning machine network optimized by the grey wolf algorithm. The proposed model was carried out on 101 experimental data...

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Bibliographic Details
Main Authors: Xiaoliang Jin, Rui Zhao, Yulin Ma
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Minerals
Subjects:
compressive strength
elastic modulus
machine learning
grey wolf algorithm
rock
Online Access:https://www.mdpi.com/2075-163X/12/12/1506

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