Prediction of unconfined compressive strength of carbonate rocks using artificial neural networks

Artificial neural networks and nonlinear regression techniques to assess the influence of slake durability cycles on the prediction of uniaxial compressive strength and modulus of elasticity for carbonate rocks

(2011) S. Yagiz et al.   INTERNATIONAL JOURNAL FOR NUMERICAL AND ANALYTICAL METHODS IN GEOMECHANICS

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

(2010) Abdulkadir Cevik et al.   APPLIED SOFT COMPUTING

Estimation of strength parameters of rock using artificial neural networks

(2010) Kripamoy Sarkar et al.   Bulletin of Engineering Geology and the Environment

The usability of Cerchar abrasivity index for the prediction of UCS and E of Misis Fault Breccia: Regression and artificial neural networks analysis

(2010) S. Kahraman et al.   EXPERT SYSTEMS WITH APPLICATIONS

In situ estimation of roof rock strength using sonic logging

(2010) David C. Oyler et al.   INTERNATIONAL JOURNAL OF COAL GEOLOGY

Use of the core strangle test for tensile strength estimation and rock mass classification

(2010) Işık Yilmaz   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Statistical Downscaling of Monthly Precipitation Using NCEP/NCAR Reanalysis Data for Tahtali River Basin in Turkey

(2010) Okan Fistikoglu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Study on uniaxial compressive strength, point load strength index, dynamic and physical properties of serpentinites from Central Greece: Test results and empirical relations

(2009) K. Diamantis et al.   ENGINEERING GEOLOGY

Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia)

(2009) Mohammed S. Ameen et al.   MARINE AND PETROLEUM GEOLOGY

Time-Dependent Mechanical Behavior of a Granular Medium Used in Laboratory Investigations

(2009) Hani Ghiabi et al.   International Journal of Geomechanics

Predicting intact rock strength for mechanical excavation using multivariate statistics, artificial neural networks, and regression trees

(2008) Bulent Tiryaki   ENGINEERING GEOLOGY

Evaluating the strength and deformability properties of Misis fault breccia using artificial neural networks

(2008) S. Kahraman et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

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

(2007) K. Zorlu et al.   ENGINEERING GEOLOGY

Prediction of compressive and tensile strength of limestone via genetic programming

(2007) A BAYKASOGLU et al.   EXPERT SYSTEMS WITH APPLICATIONS