Rock Strength Estimation Using Several Tree-Based ML Techniques-Reference-Cited by-同舟云学术

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Rock Strength Estimation Using Several Tree-Based ML Techniques

Published:2022 Issue:3 Volume:133 Page:799-824
ISSN:1526-1506
Container-title:Computer Modeling in Engineering & Sciences
language:en
Short-container-title:

Author:

Liu Zida,Jahed Armaghani Danial,Fakharian Pouyan,Li Diyuan,Vladimirovich Ulrikh Dmitrii,Nikolaevna Orekhova Natalia,Mohamed Khedher Khaled

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

Computer Science Applications,Modeling and Simulation,Software

Link

https://www.techscience.com/CMES/v133n3/49219/pdf

Reference91 articles.

1. Correlation between the constant mi of Hoek-Brown criterion and porosity of intact rock;He;Rock Mechanics and Rock Engineering,2022

2. Experimental and numerical analysis of mode I fracture process of rock by semi-circular bend specimen;Xiao;Mathematics,2021

3. Empirical methods for determining shaft bearing capacity of semi-deep foundations socketed in rocks;Rezazadeh;Journal of Rock Mechanics and Geotechnical Engineering,2017

4. Using indirect testing methods to quickly acquire the rock strength and rock mass classification in tunnel engineering;Xue;International Journal of Geomechanics,2020

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1. Application of artificial intelligence in coal mine ultra-deep roadway engineering—a review;Artificial Intelligence Review;2024-08-19

2. Assessment of Uniaxial Strength of Rocks: A Critical Comparison Between Evolutionary and Swarm Optimized Relevance Vector Machine Models;Transportation Infrastructure Geotechnology;2024-07-03

3. Development of Z number-based fuzzy inference system to predict bearing capacity of circular foundations;Artificial Intelligence Review;2024-05-20

4. Bayesian optimization-enhanced ensemble learning for the uniaxial compressive strength prediction of natural rock and its application;Geohazard Mechanics;2024-05

5. Prediction of Uniaxial Strength of Rocks Using Relevance Vector Machine Improved with Dual Kernels and Metaheuristic Algorithms;Rock Mechanics and Rock Engineering;2024-04-01

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