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Prediction of the deformation modulus of rock masses using Artificial Neural Networks and Regression methods

Javad Gholamnejad; HamidReza Bahaaddini; Morteza Rastegar

Volume 4, Issue 1 , January 2013, , Pages 35-43

http://dx.doi.org/10.22044/jme.2013.144

Abstract
  Static deformation modulus is recognized as one of the most important parameters governing the behavior of rock masses. Predictive models for the mechanical properties of rock masses have been used in rock engineering because direct measurement of the properties is difficult due to time and cost constraints. ...  Read More