Prediction of geomechanical parameters using soft computing and multiple regression approach-Reference-Cited by-同舟云学术

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Prediction of geomechanical parameters using soft computing and multiple regression approach

Published:2017-03 Issue: Volume:99 Page:108-119
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Singh Rajesh,Umrao Ravi Kumar,Ahmad M.,Ansari M.K.,Sharma L.K.,Singh T.N.

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference47 articles.

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2. Correlating uniaxial compressive strength with schmidt hardness, point load index, young's modulus, and mineralogy of gabbros and basalts (Northern Greece);Aggistalis;Bull. Int. Assoc. Eng. Geol.,1996

3. An empirical correlation of uniaxial compressive strength with P-wave velocity and point load strength index on marly rocks using statistical method;Azimian;Geotech. Geol. Eng.,2014

4. The effect of Schmidt hammer type on uniaxial compressive strength prediction of rock;Buyuksagis;Int. J. Rock Mech. Min. Sci.,2007

5. Application of support vector machines and relevance vector machines in predicting uniaxial compressive strength of volcanic rocks;Ceryan;J. Afr. Earth Sc.,2014

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