A hybrid artificial_intelligence model to predict the elastic behavior of sandstone rocks

HIGHLIGHTS

• who: Ahmed Gowida and colleagues from the College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals have published the article: A Hybrid Artificial_Intelligence Model to Predict the Elastic Behavior of Sandstone Rocks, in the Journal: Sustainability 2019, 11, x FOR PEER REVIEW of /2019/
• what: This study has developed a new generalized model to estimate static Poisson's ratio values of sandstone rocks using a supervised artificial neural network (ANN). This approach has some drawbacks due to its high cost and time-consuming nature . The main reasons for this discrepancy between . . .
  

   

  

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