Application of artificial neural networks and multivariate statistics to predict UCS and E using physical properties of Asmari limestones
Geomechanical properties of rocks such as uniaxial compressive strength (UCS) and modulus of elasticity (E) have been essentially evaluated for rock engineering projects as well as dam sites. In this paper, in order to estimate the parameters, some mathematical methods are proposed including multipl...
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Veröffentlicht in: | Arabian journal of geosciences 2015-05, Vol.8 (5), p.2889-2897 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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