<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-DZ8CSOQ0</identifier><date>2020</date><creator>Kramar, Davorin</creator><creator>Krivokapić, Zdravko</creator><creator>Spaić, Obrad</creator><relation>documents/doc/D/URN_NBN_SI_doc-DZ8CSOQ0_001.pdf</relation><relation>documents/doc/D/URN_NBN_SI_doc-DZ8CSOQ0_001.txt</relation><format format_type="volume">15</format><format format_type="issue">2</format><format format_type="type">article</format><format format_type="extent">str. 164-178</format><identifier identifier_type="DOI">10.14743/apem2020.2.356</identifier><identifier identifier_type="ISSN">1854-6250</identifier><identifier identifier_type="COBISSID_HOST">49477379</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-DZ8CSOQ0</identifier><language>eng</language><publisher>Fakulteta za strojništvo, Inštitut za proizvodno strojništvo</publisher><source>Advances in production engineering and management</source><rights>InC</rights><subject language_type_id="slv">aksialna ali osna sila</subject><subject language_type_id="eng">artificial neural networks</subject><subject language_type_id="eng">axial force</subject><subject language_type_id="eng">back propagation</subject><subject language_type_id="eng">cutting tool</subject><subject language_type_id="eng">drilling</subject><subject language_type_id="slv">obraba orodja</subject><subject language_type_id="eng">prediction</subject><subject language_type_id="slv">predikcija</subject><subject language_type_id="slv">rezalno orodje</subject><subject language_type_id="slv">spiralni svedri</subject><subject language_type_id="eng">tool wear</subject><subject language_type_id="eng">twist drill bits</subject><subject language_type_id="slv">umetne nevronske mreže</subject><subject language_type_id="slv">vrtanje</subject><title>Development of family of artificial neural networks for the prediction of cutting tool condition</title></Record>