<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-OLN27AAA</identifier><date>2024</date><creator>Majerníková, J.</creator><creator>Pepelnjak, Tomaž</creator><creator>Sevšek, Luka</creator><creator>Vilkovský, S.</creator><relation>documents/doc/O/URN_NBN_SI_doc-OLN27AAA_001.pdf</relation><relation>documents/doc/O/URN_NBN_SI_doc-OLN27AAA_001.txt</relation><format format_type="volume">19</format><format format_type="type">article</format><format format_type="issue">nr. 1</format><format format_type="extent">str. 46–64</format><identifier identifier_type="DOI">10.14743/apem2024.1.492</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">197726467</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-OLN27AAA</identifier><language>eng</language><publisher publisher_location="Maribor">Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>BY</rights><subject language_type_id="eng">artificial neural network</subject><subject language_type_id="eng">deep drawing</subject><subject language_type_id="eng">finite element methods</subject><subject language_type_id="eng">forming</subject><subject language_type_id="slv">globoko vlečenje</subject><subject language_type_id="slv">metoda končnih elementov</subject><subject language_type_id="slv">modeliranje</subject><subject language_type_id="eng">modelling</subject><subject language_type_id="slv">preoblikovanje</subject><subject language_type_id="slv">simulacije</subject><subject language_type_id="eng">simulation</subject><subject language_type_id="slv">TRIP jeklo</subject><subject language_type_id="eng">TRIP steel</subject><subject language_type_id="slv">umetna nevronska mreža</subject><title>Predicting the deep drawing process of TRIP steel grades using multilayer perceptron artificial neural networks</title></Record>