Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

EMS El-Said, M Abd Elaziz, AH Elsheikh - Applied Thermal Engineering, 2021 - Elsevier
In this study, improved prediction methods based on supervised machine-learning
algorithms is proposed to predict the effect of the application of air injection and transverse …

Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

E El-Said, M Abd Elaziz, AH Elsheikh - Applied Thermal Engineering, 2021 - inis.iaea.org
[en] Highlights:• Thermohydrulic performance of STHE was predected using four ML
algorithms; RVFL, KNN, SVM and SMO.• The RVFL model has the best prediction …

[引用][C] Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

EMS El-Said, M Abd Elaziz, AH Elsheikh - Applied Thermal Engineering, 2021 - cir.nii.ac.jp
Machine learning algorithms for improving the prediction of air injection effect on the
thermohydraulic performance of shell and tube heat exchanger | CiNii Research CiNii 国立 …

Machine learning algorithms for improving the prediction of air injection effect on the thermohydraulic performance of shell and tube heat exchanger

E El-Said, M Abd Elaziz… - Applied Thermal …, 2021 - ui.adsabs.harvard.edu
In this study, improved prediction methods based on supervised machine-learning
algorithms is proposed to predict the effect of the application of air injection and transverse …