GEP

作品数：426被引量：1087H指数：17
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Smart prediction of liquefaction-induced lateral spreading被引量：1
《Journal of Rock Mechanics and Geotechnical Engineering》2024年第6期2310-2325,共16页Muhammad Nouman Amjad Raja Tarek Abdoun Waleed El-Sekelly 
The prediction of liquefaction-induced lateral spreading/displacement(Dh)is a challenging task for civil/geotechnical engineers.In this study,a new approach is proposed to predict Dh using gene expression programming(...
关键词：Lateral spreading Intelligent modeling Gene expression programming(GEP) Closed-form solution Feature importance 
A true triaxial strength criterion for rocks by gene expression programming被引量：2
《Journal of Rock Mechanics and Geotechnical Engineering》2023年第10期2508-2520,共13页Jian Zhou Rui Zhang Yingui Qiu Manoj Khandelwal 
supported by the National Natural Science Foundation of China(Grant No.42177164);the Distinguished Youth Science Foundation of Hunan Province of China(Grant No.2022JJ10073);the Innovation-Driven Project of Central South University(Grant No.2020CX040).
Rock strength is a crucial factor to consider when designing and constructing underground projects.This study utilizes a gene expression programming(GEP)algorithm-based model to predict the true triaxial strength of r...
关键词：Gene expression programming(GEP) True triaxial strength Rock failure criteria Intermediate principal stress 
Prediction of mode I fracture toughness of rock using linear multiple regression and gene expression programming被引量：3
《Journal of Rock Mechanics and Geotechnical Engineering》2022年第5期1421-1432,共12页Bijan Afrasiabian Mosleh Eftekhari 
Corresponding author:Mosleh Eftekhari.E-mail address:mosleh.eftekhari@modares.acir。
Prediction of mode I fracture toughness(KIC) of rock is of significant importance in rock engineering analyses. In this study, linear multiple regression(LMR) and gene expression programming(GEP)methods were used to p...
关键词：Mode I fracture Toughness Critical stress intensity factor Linear multiple regression(LMR) Gene expression programming(GEP) 
A worldwide SPT-based soil liquefaction triggering analysis utilizing gene expression programming and Bayesian probabilistic method被引量：3
《Journal of Rock Mechanics and Geotechnical Engineering》2017年第4期683-693,共11页Maral Goharzay Ali Noorzad Ahmadreza Mahboubi Ardakani Mostafa Jalal 
In this context,two different approaches of soil liquefaction evaluation using a soft computing technique based on the worldwide standard penetration test(SPT) databases have been studied.Gene expression programming(G...
关键词：LIQUEFACTION Soft computing technique Gene expression programming(GEP) Deterministic model Bayes' theorem 
Estimating uniaxial compressive strength of rocks using genetic expression programming被引量：1
《Journal of Rock Mechanics and Geotechnical Engineering》2013年第4期325-329,共5页Ahmet Ozbek Mehmet Unsal Aydin Dikec 
The support of the Research Fund of Kahramanmaras Sutcu Imam University(Grant FBE2009/3-9YLS)
The aim of this paper is to estimate the uniaxial compressive strength（UCS） of rocks with different characteristics by using genetic expression programming（GEP）.For this purpose,five different types of rocks inclu...
关键词：Uniaxial compressive strength（UCS） Genetic expression programming（GEP） Rock masses 
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