Investigating the Accuracy of Artificial Neural Network Models in Predicting Surface Roughness in Drilling Processes-Reference-Cited by-同舟云学术

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Investigating the Accuracy of Artificial Neural Network Models in Predicting Surface Roughness in Drilling Processes

Published:2024 Issue: Volume:232 Page:1982-1990
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Okwu M.O.,Otanocha O.B.,Edward B.A.,Oreko B.U.,Oyekale J.,Oyejide O.J.,Osuji J.,Maware C.,Ezekiel K.,Orikpete O.F.

Publisher

Elsevier BV

Reference64 articles.

1. Artificial neural network for prediction of air flow in a single rock joint;Ranjith;Neural Comput. Appl.,2012

2. Handbook of Neural Computing Applications;Maren,1990

3. Application of Artificial Neural Networks for Well logs;Kohli,2014

4. Application of Artificial Intelligence Technique in Drilling System Design and Operations;Bello,2016

5. State of the Art of Artificial Intelligence and Predictive Analytics in the E&P Industry: A Technology Survey;Bravo;SPE Journal,2014

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