<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-NZ3EFVS5</identifier><date>2012</date><creator>Çay, Yusuf</creator><creator>Çiçek, Adem</creator><creator>Kivak, Turgay</creator><creator>Samtaş, Gürcan</creator><relation>documents/doc/N/URN_NBN_SI_doc-NZ3EFVS5_001.htm</relation><relation>documents/doc/N/URN_NBN_SI_doc-NZ3EFVS5_001.pdf</relation><relation>documents/doc/N/URN_NBN_SI_doc-NZ3EFVS5_001.txt</relation><format format_type="volume">58</format><format format_type="issue">7/8</format><format format_type="type">article</format><format format_type="extent">str. 492-498, SI 95</format><identifier identifier_type="ISSN">0039-2480</identifier><identifier identifier_type="COBISSID">266456064</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-NZ3EFVS5</identifier><language>eng</language><publisher>Association of Mechanical Engineers and Technicians of Slovenia et al.</publisher><publisher>Zveza strojnih inženirjev in tehnikov Slovenije et al.</publisher><source>Strojniški vestnik</source><rights>InC</rights><subject language_type_id="slv">jeklo</subject><subject language_type_id="slv">kriogenska obdelava</subject><subject language_type_id="slv">obdelava z odrezovanjem</subject><subject language_type_id="slv">prediktivno modeliranje</subject><subject language_type_id="slv">regresijska analiza</subject><subject language_type_id="slv">umetne nevronske mreže</subject><title>Modelling of thrust forces in drilling of AISI 316 stainless steel using artificial neural network and multiple regression analysis</title></Record>