Prediction of CSG splitting tensile strength based on XGBoost-RF model-Reference-Cited by-同舟云学术

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Prediction of CSG splitting tensile strength based on XGBoost-RF model

Published:2023-03 Issue: Volume:34 Page:105350
ISSN:2352-4928
Container-title:Materials Today Communications
language:en
Short-container-title:Materials Today Communications

Author:

Guo Lei,Li Zexuan,Tian Qingqing,Guo Lixia^ORCID,Wang Qiongyao

Publisher

Elsevier BV

Subject

Materials Chemistry,Mechanics of Materials,General Materials Science

Reference31 articles.

1. Analysis of factors affecting compressive strength of cemented sand and gravel;Shoukai;Yellow River,2020

2. Effect of mud content in cemented sand gravel based on its strength;Lei;Yellow River,2020

3. Study on constitutive model of cement sand and gravel material based on binary parallel model;Lei;Yangtze River,2022

4. Prediction model of permeabi lity index based on Xgboost;Jun;China Metall.,2021

5. Design method of simulated concrete material mix ratio based on XG boost algorithm;Yun-Fei;WaterResourcesandPower,2021

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