dc.contributor.author | Tansel, I. N. | |
dc.contributor.author | Gulmez, S. | |
dc.contributor.author | Demetgul, M. | |
dc.contributor.author | Aykut, S. | |
dc.date.accessioned | 16/12/21 12:08 | |
dc.date.available | 16/12/21 12:08 | |
dc.date.issued | 2011 | |
dc.identifier.issn | 0957-4174 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10767 | |
dc.identifier.uri | https://doi.org/10.1016/j.eswa.2010.09.170 | |
dc.description.abstract | Determination of the optimal operating conditions from the experimental data without fitting any analytical or empirical models is very convenient for manufacturing applications. In this paper, integration of Taguchi Method and Genetically Optimized Neura | |
dc.language.iso | English | |
dc.publisher | Pergamon-Elsevıer Scıence Ltd | |
dc.source | Expert Systems Wıth Applıcatıons | |
dc.title | Taguchi Method-GONNS integration: Complete procedure covering from experimental design to complex optimization | |
dc.type | Article | |
dc.identifier.issue | 5 | |
dc.identifier.startpage | 4780 | |
dc.identifier.endpage | 4789 | |
dc.identifier.doi | 10.1016/j.eswa.2010.09.170 | |
dc.identifier.wos | WOS:000287419900012 | |
dc.identifier.volume | 38 | |