Introducing stacking machine learning approaches for the prediction of rock deformation

Application of Nanoindentation in the Characterization of a Porous Material with a Clastic Texture

(2021) Sathwik S. Kasyap et al.   Materials

Characterization of two types of shale rocks from Guizhou China through micro-indentation, statistical and machine-learning tools

(2021) S.S. Kasyap et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

Investigating the effective parameters on the risk levels of rockburst phenomena by developing a hybrid heuristic algorithm

(2020) Jian Zhou et al.   ENGINEERING WITH COMPUTERS

A new hybrid simulated annealing-based genetic programming technique to predict the ultimate bearing capacity of piles

(2020) Weixun Yong et al.   ENGINEERING WITH COMPUTERS

Seepage Analysis in Short Embankments Using Developing a Metaheuristic Method Based on Governing Equations

(2020) Dongchun Tang et al.   Applied Sciences-Basel

A SVR-GWO technique to minimize flyrock distance resulting from blasting

(2020) Danial Jahed Armaghani et al.   Bulletin of Engineering Geology and the Environment

Examining Hybrid and Single SVM Models with Different Kernels to Predict Rock Brittleness

(2020) Danial Jahed Armaghani et al.   Sustainability

Don’t dismiss logistic regression: the case for sensible extraction of interactions in the era of machine learning

(2020) Joshua J. Levy et al.   BMC Medical Research Methodology

Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

(2020) Benjamin Y. Gravesteijn et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Mapping and holistic design of natural hydraulic lime mortars

(2020) Maria Apostolopoulou et al.   CEMENT AND CONCRETE RESEARCH

A Novel Feature Selection Approach Based on Tree Models for Evaluating the Punching Shear Capacity of Steel Fiber-Reinforced Concrete Flat Slabs

(2020) Shasha Lu et al.   Materials

Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

(2020) Jian Zhou et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Investigation of the mechanical properties and the influence of micro-structural characteristics of aggregates using micro-indentation and Weibull analysis

(2020) Sathwik S. Kasyap et al.   CONSTRUCTION AND BUILDING MATERIALS

Developing GEP tree-based, neuro-swarm, and whale optimization models for evaluation of bearing capacity of concrete-filled steel tube columns

(2019) Payam Sarir et al.   ENGINEERING WITH COMPUTERS

A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models

(2019) Evangelia Christodoulou et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Comparative investigation of Shore, Schmidt, and Leeb hardness tests in the characterization of rock materials

(2019) Sefer Beran Çelik et al.   Environmental Earth Sciences

Concrete compressive strength using artificial neural networks

(2019) Panagiotis G. Asteris et al.   NEURAL COMPUTING & APPLICATIONS

Shear modules of claysand mixtures using bender element test

(2018) Ali Firat Cabalar et al.   Acta Geotechnica Slovenica

Intelligent modelling of sandstone deformation behaviour using fuzzy logic and neural network systems

(2016) Behnam Yazdani Bejarbaneh et al.   Bulletin of Engineering Geology and the Environment

Modeling deformation modulus of a stratified sedimentary rock mass using neural network, fuzzy inference and genetic programming

(2016) S. Alemdag et al.   ENGINEERING GEOLOGY

A new model based on gene expression programming to estimate air flow in a single rock joint

(2016) Manoj Khandelwal et al.   Environmental Earth Sciences

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

(2016) Haoyuan Hong et al.   GEOMORPHOLOGY

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

(2016) Danial Jahed Armaghani et al.   ROCK MECHANICS AND ROCK ENGINEERING

Prediction of the strength and elasticity modulus of granite through an expert artificial neural network

(2015) Danial Jahed Armaghani et al.   Arabian Journal of Geosciences

Predictive model for uniaxial compressive strength for Grade III granitic rocks from Macao

(2015) Iok-Tong Ng et al.   ENGINEERING GEOLOGY

Soft computing methods for estimating the uniaxial compressive strength of intact rock from index tests

(2015) D.A. Mishra et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

Modern modelling techniques are data hungry: a simulation study for predicting dichotomous endpoints

(2015) Tjeerd van der Ploeg et al.   BMC Medical Research Methodology

Estimation of strength characteristics of different Himalayan rocks from Schmidt hammer rebound, point load index, and compressional wave velocity

(2014) Ruchika Sharma Tandon et al.   Bulletin of Engineering Geology and the Environment

An adaptive neuro-fuzzy inference system for predicting unconfined compressive strength and Young’s modulus: a study on Main Range granite

(2014) Danial Jahed Armaghani et al.   Bulletin of Engineering Geology and the Environment

Prediction of the unconfined compressive strength of soft rocks: a PSO-based ANN approach

(2014) Edy Tonnizam Mohamad et al.   Bulletin of Engineering Geology and the Environment

Correlation Between P-Wave Velocity and Physical–Mechanical Properties of Intensely Jointed Dolostones, Peloritani Mounts, NE Sicily

(2014) Giovanna Pappalardo   ROCK MECHANICS AND ROCK ENGINEERING

Estimation of uniaxial compressive strength of rock materials by index tests using regression analysis and fuzzy inference system

(2013) D.A. Mishra et al.   ENGINEERING GEOLOGY

Stiffness at small strain: research and practice

(2012) C.R.I. CLAYTON   GEOTECHNIQUE

Estimation of elastic constant of rocks using an ANFIS approach

(2011) Rajesh Singh et al.   APPLIED SOFT COMPUTING

P-wave velocity test for assessment of geotechnical properties of some rock materials

(2011) Saffet Yagiz   BULLETIN OF MATERIALS SCIENCE

Some applications of Adaptive Neuro-Fuzzy Inference System (ANFIS) in geotechnical engineering

(2011) Ali Firat Cabalar et al.   COMPUTERS AND GEOTECHNICS

A new multi-gene genetic programming approach to nonlinear system modeling. Part I: materials and structural engineering problems

(2011) Amir Hossein Gandomi et al.   NEURAL COMPUTING & APPLICATIONS

Evaluating the strength of intact rocks through genetic programming

(2010) Mojtaba Asadi et al.   APPLIED SOFT COMPUTING

Specifying the information required for rock mechanics modelling and rock engineering design

(2010) Xia-Ting Feng et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of blast-induced ground vibration using artificial neural network

(2009) Manoj Khandelwal et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Evolving neural network using a genetic algorithm for predicting the deformation modulus of rock masses

(2009) Abbas Majdi et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Determination of mechanical properties of rocks using simple methods

(2008) A. Kılıç et al.   Bulletin of Engineering Geology and the Environment

Estimation of uniaxial compressive strength from point load strength, Schmidt hardness and P-wave velocity

(2008) İbrahim Çobanoğlu et al.   Bulletin of Engineering Geology and the Environment

Modelling damping ratio and shear modulus of sand–mica mixtures using neural networks

(2008) Ali Firat Cabalar et al.   ENGINEERING GEOLOGY

Variation of Schmidt hammer values with imbrication direction in clastic sedimentary rocks

(2008) Ahmet Özbek   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models

(2008) Işık Yilmaz et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Assessment of brittleness using rock strength and density with punch penetration test

(2008) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Influence of thermal damage on physical properties of a granite rock: Porosity, permeability and ultrasonic wave evolutions

(2007) S. Chaki et al.   CONSTRUCTION AND BUILDING MATERIALS

Utilizing rock mass properties for predicting TBM performance in hard rock condition

(2007) Saffet Yagiz   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY