<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-4FFGKPN8</identifier><date>2015</date><creator>Begić-Hajdarević, Đerzija</creator><creator>Cohodar Husic, Maida</creator><creator>Čekić, Ahmet</creator><creator>Ficko, Mirko</creator><creator>Klančnik, Simon</creator><creator>Paulič, Matej</creator><relation>documents/doc/4/URN_NBN_SI_doc-4FFGKPN8_001.pdf</relation><relation>documents/doc/4/URN_NBN_SI_doc-4FFGKPN8_001.txt</relation><format format_type="issue">12</format><format format_type="volume">61</format><format format_type="type">article</format><format format_type="extent">str. 714-720, SI 130</format><identifier identifier_type="ISSN">0039-2480</identifier><identifier identifier_type="COBISSID">19154966</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-4FFGKPN8</identifier><language>eng</language><publisher>Zveza strojnih inženirjev in tehnikov Slovenije et al.</publisher><source>Strojniški vestnik</source><rights>InC</rights><subject language_type_id="slv">kvaliteta reza</subject><subject language_type_id="slv">lasersko rezanje</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">umetna inteligenca</subject><subject language_type_id="slv">volframove zlitine</subject><title>Prediction of laser cut quality for tungsten alloy using the neural network method</title></Record>