4.7 Article

Indirect estimation of unconfined compressive strength of carbonate rocks using extreme learning machine

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

An intelligent approach to predict unconfined compressive strength of rock surrounding access tunnels in longwall coal mining

Mohammad Rezaei et al.

NEURAL COMPUTING & APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

An application of adaptive neuro fuzzy inference system for estimating the uniaxial compressive strength of certain granitic rocks from their mineral contents

N. Yesiloglu-Gultekin et al.

EXPERT SYSTEMS WITH APPLICATIONS (2013)

Article Computer Science, Artificial Intelligence

Weighted extreme learning machine for imbalance learning

Weiwei Zong et al.

NEUROCOMPUTING (2013)

Article Computer Science, Artificial Intelligence

Robust extreme learning machine

Punyaphol Horata et al.

NEUROCOMPUTING (2013)

Article Engineering, Geological

Effects of alkaline-activated fly ash and Portland cement on soft soil stabilisation

Nuno Cristelo et al.

ACTA GEOTECHNICA (2013)

Article Engineering, Geological

Macrostructural changes in compacted earthen construction materials under loading

C. T. S. Beckett et al.

ACTA GEOTECHNICA (2013)

Article Materials Science, Multidisciplinary

Estimation of Elasticity of Porous Rock Based on Mineral Composition and Microstructure

Zaobao Liu et al.

ADVANCES IN MATERIALS SCIENCE AND ENGINEERING (2013)

Article Engineering, Geological

Application of Generalized Regression Neural Networks in Predicting the Unconfined Compressive Strength of Carbonate Rocks

Nurcihan Ceryan et al.

ROCK MECHANICS AND ROCK ENGINEERING (2012)

Article Computer Science, Artificial Intelligence

Modeling of the uniaxial compressive strength of some clay-bearing rocks using neural network

Abdulkadir Cevik et al.

APPLIED SOFT COMPUTING (2011)

Article Computer Science, Artificial Intelligence

Multiple regression, ANN (RBF, MLP) and ANFIS models for prediction of swell potential of clayey soils

Isik Yilmaz et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

Article Computer Science, Artificial Intelligence

Regularized extreme learning machine for regression problems

Jose M. Martinez-Martinez et al.

NEUROCOMPUTING (2011)

Article Computer Science, Artificial Intelligence

Upper integral network with extreme learning mechanism

Xizhao Wang et al.

NEUROCOMPUTING (2011)

Article Computer Science, Artificial Intelligence

Extreme learning machines: a survey

Guang-Bin Huang et al.

INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS (2011)

Article Engineering, Geological

Point load test on schistose rocks and its applicability in predicting uniaxial compressive strength

A. Basu et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2010)

Article Engineering, Geological

A new testing method for indirect determination of the unconfined compressive strength of rocks

Isik Yilmaz

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Engineering, Environmental

Estimation of strength and deformation properties of Quaternary caliche deposits

Ismail Dincer et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)

Article Engineering, Geological

Index properties and strength variation controlled by microstructure for sedimentary rocks

N. Sabatakakis et al.

ENGINEERING GEOLOGY (2008)

Article Engineering, Geological

Prediction of uniaxial compressive strength of sandstones using petrography-based models

K. Zorlu et al.

ENGINEERING GEOLOGY (2008)

Article Engineering, Geological

An Example of Artificial Neural Network (ANN) Application for Indirect Estimation of Rock Parameters

I. Yilmaz et al.

ROCK MECHANICS AND ROCK ENGINEERING (2008)

Article Engineering, Geological

The effect of Schmidt hammer type on uniaxial compressive strength prediction of rock

I. S. Buyuksagis et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2007)

Article Computer Science, Artificial Intelligence

Extreme learning machine: Theory and applications

Guang-Bin Huang et al.

NEUROCOMPUTING (2006)

Article Geochemistry & Geophysics

A new machine learning paradigm for terrain reconstruction

Chee-Wee Thomas Yeu et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2006)

Article Computer Science, Artificial Intelligence

Evolutionary extreme learning machine

QY Zhu et al.

PATTERN RECOGNITION (2005)

Article Engineering, Geological

A comparative evaluation of indirect methods to estimate the compressive strength of rocks

M Fener et al.

ROCK MECHANICS AND ROCK ENGINEERING (2005)

Article Engineering, Geological

Predicting elastic properties of intact rocks from index tests using multiple regression modelling

M Karakus et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2005)

Article Engineering, Geological

Considerations on strength of intact sedimentary rocks

G Tsiambaos et al.

ENGINEERING GEOLOGY (2004)

Article Automation & Control Systems

A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock

C Gokceoglu et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2004)

Article Engineering, Geological

Correlating sound velocity with the density, compressive strength and Young's modulus of carbonate rocks

E Yasar et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)

Article Engineering, Geological

Models to predict the uniaxial compressive strength and the modulus of elasticity for Ankara Agglomerate

H Sonmez et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2004)

Article Engineering, Geological

The influence of porosity on tensile and compressive strength of porous chalks

V Palchik et al.

ROCK MECHANICS AND ROCK ENGINEERING (2004)

Article Mineralogy

Rock strength as a metric of welding intensity in pyroclastic deposits

SL Quane et al.

EUROPEAN JOURNAL OF MINERALOGY (2003)

Article Engineering, Geological

Evaluation of simple methods for assessing the uniaxial compressive strength of rock

S Kahraman

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)