An ANN Approach for the Prediction of Uniaxial Compressive Strength, of Some Sedimentary and Igneous Rocks in Eastern KwaZulu-Natal

Author:

Ferentinou Maria,Fakir Muhammad

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference26 articles.

1. Z.T. Bieniawski, Engineering rock mas classifications, John Wiley & Sons, New York, 1989.

2. Engineering classification of rock masses for the design of tunnel support;Barton;Rock Mech.,1974

3. Practical estimates or rock mass strength;Hoek;Intnl. J. Rock Mech. & Mining Sci. & Geomechanics Abstracts,1997

4. ISRM, The complete ISRM Suggested methods for rock characterization, testing and monitoring: 1974-2006, in: R Ulusay, J A Hudson (Eds.), Suggested methods prepared by the commission on testing methods, International Society for Rock Mechanics, ISRM Turkish National Group, Ankara, Turkey, 2007, p. 628.

5. C. Gockceoglu, K. Zorlu, A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of a problematic rock. Engineering Application of Artificial Intelligence 17 (1) (2004) 61-72. .

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