| dc.contributor.author |
Markopoulos, A |
en |
| dc.contributor.author |
Manolakos, D |
en |
| dc.contributor.author |
Vaxevanidis, N |
en |
| dc.date.accessioned |
2014-06-06T06:48:15Z |
|
| dc.date.available |
2014-06-06T06:48:15Z |
|
| dc.date.issued |
2008 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1007/s10845-008-0081-9 |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/4047 |
|
| dc.subject |
Artificial Neural Network |
en |
| dc.subject |
Electric Discharge Machining |
en |
| dc.subject |
Process Planning |
en |
| dc.subject |
Surface Roughness |
en |
| dc.title |
Artificial neural network models for the prediction of surface roughness in electrical discharge machining |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1007/s10845-008-0081-9 |
en |
| heal.publicationDate |
2008 |
en |
| heal.abstract |
In the present paper Artificial Neural Networks (ANNs) models are proposed for the prediction of surface roughness in Electrical Discharge Machining (EDM). For this purpose two well-known programs, namely Matlab® with associated toolboxes, as well as Netlab®, were emplo- yed. Training of the models was performed with data from an extensive series of EDM experiments on steel grades; the proposed |
en |
| heal.journalName |
Journal of Intelligent Manufacturing |
en |
| dc.identifier.doi |
10.1007/s10845-008-0081-9 |
en |