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Neural network estimates Poisson's ratio, Young's modulus

05/24/2010
By Shirin Shahriari, Gholamreza Pazuki, and Bandar Duraya Al
A study compared various artifical intelligence techniques for determining Poisson's ratio and Young's modulus. These techniques provide an alternative, less costly method for determining mechanical properties of rocks.This study used 602 data points from lab measurements and log data. The data were randomized and cut into three equal sets, one for training, the second for validation, and the third for blind testing the evolved model.The evolved model's estimates of Poisson's ratio and Young's modulus had a good accuracy with a correlation coefficient (R2) of 0.9808.The study used different artificial intelligence techniques to estimate Poisson's ratio and Young's modulus as a function of...
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