4.6 Article

Comparison of models for estimating uniaxial compressive strength of some sedimentary rocks from Qom Formation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Geological

Prediction of Uniaxial Compressive Strength of Some Sedimentary Rocks by Fuzzy and Regression Models

Mojtaba Heidari et al.

GEOTECHNICAL AND GEOLOGICAL ENGINEERING (2018)

Article Geosciences, Multidisciplinary

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

Danial Jahed Armaghani et al.

ARABIAN JOURNAL OF GEOSCIENCES (2016)

Article Environmental Sciences

A comparative study of artificial neural network (MLP, RBF) and support vector machine models for river flow prediction

Mohammad Ali Ghorbani et al.

ENVIRONMENTAL EARTH SCIENCES (2016)

Article Environmental Sciences

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

Nurcihan Ceryan et al.

ENVIRONMENTAL EARTH SCIENCES (2013)

Article Engineering, Geological

Correlation Between Point Load Index and Uniaxial Compressive Strength for Different Rock Types

T. N. Singh et al.

ROCK MECHANICS AND ROCK ENGINEERING (2012)

Article Materials Science, Multidisciplinary

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

Saffet Yagiz

BULLETIN OF MATERIALS SCIENCE (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 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 Computer Science, Artificial Intelligence

Fault gear identification and classification using discrete wavelet transform and adaptive neuro-fuzzy inference

Jian-Da Wu et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Article Engineering, Geological

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

Isik Yilmaz et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2009)

Article Engineering, Environmental

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

Ibrahim Cobanoglu et al.

BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2008)

Article Engineering, Geological

The Schmidt hammer in rock material characterization

A Aydin et al.

ENGINEERING GEOLOGY (2005)

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, Electrical & Electronic

Neural methods for antenna array signal processing: A review

KL Du et al.

SIGNAL PROCESSING (2002)

Article Engineering, Geological

Draft ISRM suggested method for determining block punch strength index (BPI)

R Ulusay et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2001)