As part of Open Journals’ initiatives, we create website for scholarly open access journals.
If you are responsible for this journal and would like to know more about how to use the editorial system, please visit our website at
https://ejournalplus.com or send us an email to info@ejournalplus.com
In this study, the comparisons on predictions of surface finish for borosilicate glass work material based upon genetic network model by used Simulnet program. Genetic network (GN) has been used to investigate the process control for EDM that could the Ra experimental and prediction with accuracy of 94.236%. The differences on the Ra at genetic network model for (80×60×3mm) of BSG never exceed (8%) from testing data sets.
(2012). Predictions on Surface Finish In EDM Based Upon Genetic Network Model. Engineering and Technology Journal, 30(1), 77-86. doi: 10.30684/etj.30.1.7
Shukry H. Aghdeab. "Predictions on Surface Finish In EDM Based Upon Genetic Network Model". Engineering and Technology Journal, 30, 1, 2012, 77-86. doi: 10.30684/etj.30.1.7
(2012). 'Predictions on Surface Finish In EDM Based Upon Genetic Network Model', Engineering and Technology Journal, 30(1), pp. 77-86. doi: 10.30684/etj.30.1.7
Predictions on Surface Finish In EDM Based Upon Genetic Network Model. Engineering and Technology Journal, 2012; 30(1): 77-86. doi: 10.30684/etj.30.1.7
