<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-TUVOEKKP</identifier><date>2014</date><creator>Babič, Matej</creator><creator>Balič, Jože</creator><creator>Belič, Igor</creator><creator>Kokol, Peter</creator><creator>Kovačič, Miha</creator><creator>Panjan, Peter</creator><creator>Verbovšek, Timotej</creator><relation>documents/doc/T/URN_NBN_SI_doc-TUVOEKKP_001.pdf</relation><relation>documents/doc/T/URN_NBN_SI_doc-TUVOEKKP_001.txt</relation><format format_type="issue">3</format><format format_type="volume">48</format><format format_type="type">article</format><format format_type="extent">str. 409-414</format><identifier identifier_type="ISSN">1580-2949</identifier><identifier identifier_type="COBISSID">17827094</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-TUVOEKKP</identifier><language>eng</language><publisher>Inštitut za kovinske materiale in tehnologije</publisher><source>Materiali in tehnologije</source><rights>InC</rights><subject language_type_id="eng">fractal dimension</subject><subject language_type_id="eng">fractal geometry</subject><subject language_type_id="slv">fraktalna dimenzija</subject><subject language_type_id="slv">fraktalna geometrija</subject><subject language_type_id="eng">hardness</subject><subject language_type_id="slv">kaljenje</subject><subject language_type_id="slv">kaljeno jeklo</subject><subject language_type_id="eng">laser</subject><subject language_type_id="slv">napovedovanje</subject><subject language_type_id="eng">neural network</subject><subject language_type_id="slv">nevronske mreže</subject><subject language_type_id="slv">orodna jekla</subject><subject language_type_id="eng">prediction</subject><subject language_type_id="slv">robotsko lasersko kaljenje</subject><subject language_type_id="eng">steel</subject><subject language_type_id="eng">tool steel</subject><subject language_type_id="slv">trdota</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Napoved trdote kaljenih vzorcev z nevronskimi mrežami</title><title>Prediction of the hardness of hardened specimens with a neural network</title></Record>