33 KB657 KB24 KB200020242010Boga, CemErsoz, Iren KayaEsme, UgurGuven, OnurKazancoglu, YugutKulekci, Mustafa Kemalštevilka:3letnik:44str. 147-152ISSN:1580-2949COBISSID:816042URN:URN:NBN:SI:doc-7VAVKDD7enInštitut za kovinske materiale in tehnologijeMateriali in tehnologijeelektroerozijska obdelava kovinmodeliranjenevronske mrežeComparative modeling of wire electrical discharge machining (WEDM) process using back propagation (BPN) and general regression neural networks (GRNN)| Primerjalno modeliranje elektroerozijske žične obdelave (WEDM) z uporabo povratnosti (BPN) in spošne! nevronske regresijske mreže (GRNN)|The use of two neural networks techniques to model wire electrical discharge machining process (WEDM) is explored in this paper. Both the back-propagation (BPN) and General Regression Neural Networks (GRNN) are used to determine and compare the WEDM parameters with the features of the surface roughness. A comparison between the back-propagation and general regression neural networks in the modeling of the WEDM process is given. It is shown that both the back-propagation and general regression neural networks can model the WEDM process with reasonable accuracy. However, back propagation neural network has better learning ability for the wire electrical discharge machining process than the general regression neural network. Also, the back-propagation network has better generalization ability for the wire electrical discharge machining process than does the general regression neural networkRaziskana je uporaba dveh nevronskih mrež za modeliranje elekroerozijske žič neobdelave (WEDM). Obe metodi: povratnostna (BPN) in splošna regresijska nevronska mreža (GRNN), sta uporabljeni za določitev in primerjavo VEDM-procesa. Dokazano je, da sta obe metodi primerni za modeliranje WEDM s sprejemljivo natančnostjo. Vendar pa ima povratnostna nevronska mreža boljšo sposobnost učenja in boljšo sposobnost posplošenja procesa kot splošna regresijska nevronska mrežaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaInštitut za kovinske materiale in tehnologije