Author:
Tunkiel Andrzej T.,Sui Dan,Wiktorski Tomasz
Funder
Universitetet i Stavanger
Subject
Geotechnical Engineering and Engineering Geology,Fuel Technology
Reference42 articles.
1. New artificial neural networks model for predicting rate of penetration in deep shale formation;Ahmed;Sustainability,2019
2. Computational intelligence based prediction of drilling rate of penetration: a comparative study;Ahmed;J. Petrol. Sci. Eng.,2019
3. Rate of penetration prediction and optimization using advances in artificial neural networks, a comparative study;Amar,2012
4. Impact of training-testing stratification percentage on artificial intelligence techniques: a case study of porosity and permeability prediction;Anifowose,2011
5. Investigating the effect of training–testing data stratification on the performance of soft computing techniques: an experimental study;Anifowose;J. Exp. Theor. Artif. Intell.,2017
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