<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:doc-MMX4J1QW</identifier><date>2020</date><creator>Nguyen, Van Thien</creator><creator>Nguyen, VietHung</creator><creator>Pham, VanTrinh</creator><relation>documents/doc/M/URN_NBN_SI_doc-MMX4J1QW_001.pdf</relation><relation>documents/doc/M/URN_NBN_SI_doc-MMX4J1QW_001.txt</relation><format format_type="issue">4</format><format format_type="volume">66</format><format format_type="type">article</format><format format_type="extent">str. 227-234</format><identifier identifier_type="ISSN">0039-2480</identifier><identifier identifier_type="COBISSID_HOST">16176899</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-MMX4J1QW</identifier><language>eng</language><publisher>Zveza strojnih inženirjev in tehnikov Slovenije etc.</publisher><source>Strojniški vestnik</source><rights>InC</rights><subject language_type_id="eng">cast iron</subject><subject language_type_id="slv">čelno rezkanje</subject><subject language_type_id="eng">deep learning network (DLN)</subject><subject language_type_id="eng">face milling</subject><subject language_type_id="slv">globoke nevronske mreže (DLN)</subject><subject language_type_id="slv">identifikacija</subject><subject language_type_id="slv">obraba orodja</subject><subject language_type_id="slv">softmax</subject><subject language_type_id="eng">stacked auto-encoder (SAE)</subject><subject language_type_id="eng">tool wear</subject><subject language_type_id="slv">zloženi samokodirnik (SAE)</subject><subject language_type_id="slv">železova litina</subject><title>Deep stacked auto-encoder network based tool wear monitoring in the face milling process</title></Record>